diff --git a/README.md b/README.md
index 57aa744..c738fa7 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,46 @@
 ### A framework to enable probing of language models.
 ![CI](https://github.com/sharanry/probe-lens/actions/workflows/ci.yaml/badge.svg)
 
+## API
+### Example Usage
+
+Here is an example of how to use the ProbeLens framework to generate probe data and train a linear probe on a spelling task:
+
+```python
+from probe_lens.experiments.spelling import FirstLetterSpelling
+
+words = ["example", "words", "to", "spell"]
+spelling_task = FirstLetterSpelling(words)
+```
+```python
+from sae_lens import HookedSAETransformer, SAE
+DEVICE = "mps"
+model = HookedSAETransformer.from_pretrained_no_processing("gpt2-small", device=DEVICE)
+sae, cfg_dict, sparsity = SAE.from_pretrained(
+    release="gpt2-small-res-jb",  # see other options in sae_lens/pretrained_saes.yaml
+    sae_id="blocks.8.hook_resid_pre",  # won't always be a hook point
+    device=DEVICE,
+)
+```
+
+```python
+from torch.utils.data import DataLoader
+dataset = spelling_task.generate_probe_data(model, sae, device=DEVICE)
+dataloader = DataLoader(dataset, batch_size=2, shuffle=True)
+```
+
+```python
+from probe_lens.probes import LinearProbe
+X, y = next(iter(dataloader))
+probe = LinearProbe(X.shape[1], y.shape[1], class_names=spelling_task.get_classes())
+```
+
+```python
+import torch.optim as optim
+probe.train_probe(dataloader, optim.SGD(probe.parameters(), lr=0.01), val_dataloader=None, epochs=1000)
+plot = probe.visualize_performance(dataloader)
+```
+
 
 ## Roadmap
 ### Functionalities
diff --git a/poetry.lock b/poetry.lock
index 2436c50..50d2d71 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -31,6 +31,143 @@ test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "py
 test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
 testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.4.3"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.10.10"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
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+    {file = "aiohttp-3.10.10-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:998f3bd3cfc95e9424a6acd7840cbdd39e45bc09ef87533c006f94ac47296090"},
+    {file = "aiohttp-3.10.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9010c31cd6fa59438da4e58a7f19e4753f7f264300cd152e7f90d4602449762"},
+    {file = "aiohttp-3.10.10-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7ea7ffc6d6d6f8a11e6f40091a1040995cdff02cfc9ba4c2f30a516cb2633554"},
+    {file = "aiohttp-3.10.10-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:ef9c33cc5cbca35808f6c74be11eb7f5f6b14d2311be84a15b594bd3e58b5527"},
+    {file = "aiohttp-3.10.10-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:ce0cdc074d540265bfeb31336e678b4e37316849d13b308607efa527e981f5c2"},
+    {file = "aiohttp-3.10.10-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:597a079284b7ee65ee102bc3a6ea226a37d2b96d0418cc9047490f231dc09fe8"},
+    {file = "aiohttp-3.10.10-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:7789050d9e5d0c309c706953e5e8876e38662d57d45f936902e176d19f1c58ab"},
+    {file = "aiohttp-3.10.10-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e7f8b04d83483577fd9200461b057c9f14ced334dcb053090cea1da9c8321a91"},
+    {file = "aiohttp-3.10.10-cp39-cp39-win32.whl", hash = "sha256:c02a30b904282777d872266b87b20ed8cc0d1501855e27f831320f471d54d983"},
+    {file = "aiohttp-3.10.10-cp39-cp39-win_amd64.whl", hash = "sha256:edfe3341033a6b53a5c522c802deb2079eee5cbfbb0af032a55064bd65c73a23"},
+    {file = "aiohttp-3.10.10.tar.gz", hash = "sha256:0631dd7c9f0822cc61c88586ca76d5b5ada26538097d0f1df510b082bad3411a"},
+]
+
+[package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
+aiosignal = ">=1.1.2"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+attrs = ">=17.3.0"
+frozenlist = ">=1.1.1"
+multidict = ">=4.5,<7.0"
+yarl = ">=1.12.0,<2.0"
+
+[package.extras]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
+
+[[package]]
+name = "aiosignal"
+version = "1.3.1"
+description = "aiosignal: a list of registered asynchronous callbacks"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
+    {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
+]
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
+
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -42,6 +179,28 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
+[[package]]
+name = "anyio"
+version = "4.6.2.post1"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
+    {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
+]
+
+[package.dependencies]
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
+idna = ">=2.8"
+sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
+
+[package.extras]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
+
 [[package]]
 name = "appnope"
 version = "0.1.4"
@@ -71,6 +230,101 @@ six = ">=1.12.0"
 astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
 test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 
+[[package]]
+name = "async-timeout"
+version = "4.0.3"
+description = "Timeout context manager for asyncio programs"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
+]
+
+[[package]]
+name = "attrs"
+version = "24.2.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
+    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
+]
+
+[package.extras]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+
+[[package]]
+name = "automated-interpretability"
+version = "0.0.6"
+description = "OpenAI's implementation of automated-interpretability, with some updates. Not officially affiliated with OpenAI."
+optional = false
+python-versions = "<4.0,>=3.9"
+files = [
+    {file = "automated_interpretability-0.0.6-py3-none-any.whl", hash = "sha256:3c42848ef4a8d315357569d40d39170361192fee3fbe5bc59f491c149aad75fa"},
+    {file = "automated_interpretability-0.0.6.tar.gz", hash = "sha256:13a8ed9cb783b98c0168a169d1c86c753209cebf3f6c7c5c3b5532069a8aa024"},
+]
+
+[package.dependencies]
+blobfile = ">=2.1.1,<3.0.0"
+boostedblob = ">=0.15.3,<0.16.0"
+httpx = ">=0.27.0,<0.28.0"
+numpy = ">=1.24.0,<2.0.0"
+orjson = ">=3.10.1,<4.0.0"
+scikit-learn = ">=1.2.0,<2.0.0"
+tiktoken = ">=0.6.0,<0.7.0"
+
+[[package]]
+name = "babe"
+version = "0.0.7"
+description = "Data access and analysis of baby names statistics"
+optional = false
+python-versions = "*"
+files = [
+    {file = "babe-0.0.7-py3-none-any.whl", hash = "sha256:660b6f1647012e517e1cfdfe362d52949a451fd8ba220d620513f912a04e2c77"},
+    {file = "babe-0.0.7.tar.gz", hash = "sha256:746bf5184236d682de6f0a2b9b26d5dfc1d44a031eb12f30b6fc2451976b0ded"},
+]
+
+[package.dependencies]
+graze = "*"
+pandas = "*"
+py2store = "*"
+
+[[package]]
+name = "beartype"
+version = "0.14.1"
+description = "Unbearably fast runtime type checking in pure Python."
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "beartype-0.14.1-py3-none-any.whl", hash = "sha256:0f70fccdb8eb6d7ddfaa3ffe3a0b66cf2edeb13452bd71ad46615775c2fa34f6"},
+    {file = "beartype-0.14.1.tar.gz", hash = "sha256:23df4715d19cebb2ce60e53c3cf44cd925843f00c71938222d777ea6332de3cb"},
+]
+
+[package.extras]
+all = ["typing-extensions (>=3.10.0.0)"]
+dev = ["autoapi (>=0.9.0)", "coverage (>=5.5)", "mypy (>=0.800)", "numpy", "pandera", "pydata-sphinx-theme (<=0.7.2)", "pytest (>=4.0.0)", "sphinx", "sphinx (>=4.2.0,<6.0.0)", "sphinxext-opengraph (>=0.7.5)", "tox (>=3.20.1)", "typing-extensions (>=3.10.0.0)"]
+doc-rtd = ["autoapi (>=0.9.0)", "pydata-sphinx-theme (<=0.7.2)", "sphinx (>=4.2.0,<6.0.0)", "sphinxext-opengraph (>=0.7.5)"]
+test-tox = ["mypy (>=0.800)", "numpy", "pandera", "pytest (>=4.0.0)", "sphinx", "typing-extensions (>=3.10.0.0)"]
+test-tox-coverage = ["coverage (>=5.5)"]
+
+[[package]]
+name = "better-abc"
+version = "0.0.3"
+description = "Python ABC plus abstract attributes"
+optional = false
+python-versions = "*"
+files = [
+    {file = "better-abc-0.0.3.tar.gz", hash = "sha256:a880fd6bc9675da2ec991e8712a555bffa0f12722efed78c739f78343cf989f6"},
+    {file = "better_abc-0.0.3-py3-none-any.whl", hash = "sha256:3ae73b473fbeb536a548f542984976e80b821676ae6e18f14e24d8e180647187"},
+]
+
 [[package]]
 name = "bidict"
 version = "0.23.1"
@@ -82,6 +336,40 @@ files = [
     {file = "bidict-0.23.1.tar.gz", hash = "sha256:03069d763bc387bbd20e7d49914e75fc4132a41937fa3405417e1a5a2d006d71"},
 ]
 
+[[package]]
+name = "blobfile"
+version = "2.1.1"
+description = "Read GCS, ABS and local paths with the same interface, clone of tensorflow.io.gfile"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "blobfile-2.1.1-py3-none-any.whl", hash = "sha256:fde52ebfaac236a52e61b0da34e5cff27e8afdedc4b6b732d30ed19187128434"},
+    {file = "blobfile-2.1.1.tar.gz", hash = "sha256:37a77de8c6ded9e1d97265c4d9b1c2145337a12b8eac1a4203fc895fb696e261"},
+]
+
+[package.dependencies]
+filelock = ">=3.0,<4.0"
+lxml = ">=4.9,<5.0"
+pycryptodomex = ">=3.8,<4.0"
+urllib3 = ">=1.25.3,<3"
+
+[[package]]
+name = "boostedblob"
+version = "0.15.5"
+description = "Command line tool and async library to perform basic file operations on local paths, Google Cloud Storage paths and Azure Blob Storage paths."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "boostedblob-0.15.5-py3-none-any.whl", hash = "sha256:95403cac93e6497160b45924aa3f6ed083edef620bed909fc45a6dabb0e94312"},
+    {file = "boostedblob-0.15.5.tar.gz", hash = "sha256:4e3b0b809d6fca91cf6efa59900f6dfea36609191942d542a2863ad3ec49a947"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.7.2"
+lxml = ">=4.9.1"
+pycryptodomex = ">=3.9"
+uvloop = {version = ">=0.16.0", markers = "sys_platform != \"win32\""}
+
 [[package]]
 name = "certifi"
 version = "2024.8.30"
@@ -297,6 +585,20 @@ files = [
     {file = "charset_normalizer-3.4.0.tar.gz", hash = "sha256:223217c3d4f82c3ac5e29032b3f1c2eb0fb591b72161f86d93f5719079dae93e"},
 ]
 
+[[package]]
+name = "click"
+version = "8.1.7"
+description = "Composable command line interface toolkit"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
+    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -325,6 +627,21 @@ traitlets = ">=4"
 [package.extras]
 test = ["pytest"]
 
+[[package]]
+name = "config2py"
+version = "0.1.36"
+description = "Simplified reading and writing configurations from various sources and formats"
+optional = false
+python-versions = "*"
+files = [
+    {file = "config2py-0.1.36-py3-none-any.whl", hash = "sha256:a823d2a8b5889547891d93b23fe3864fc404fe58a2aa8d5ab14542b97f0db0e4"},
+    {file = "config2py-0.1.36.tar.gz", hash = "sha256:b723065e150516daa049f835665a06abb18d05257fb548006487f99bf50e71c4"},
+]
+
+[package.dependencies]
+dol = "*"
+i2 = "*"
+
 [[package]]
 name = "contourpy"
 version = "1.3.0"
@@ -424,6 +741,50 @@ files = [
 docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
 tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
+[[package]]
+name = "datasets"
+version = "2.21.0"
+description = "HuggingFace community-driven open-source library of datasets"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "datasets-2.21.0-py3-none-any.whl", hash = "sha256:25e4e097110ce28824b746a107727ada94024cba11db8bc588d468414692b65a"},
+    {file = "datasets-2.21.0.tar.gz", hash = "sha256:998f85a8460f1bd982e5bd058f8a0808eef424249e3df1e8cdd594ccd0dc8ba2"},
+]
+
+[package.dependencies]
+aiohttp = "*"
+dill = ">=0.3.0,<0.3.9"
+filelock = "*"
+fsspec = {version = ">=2023.1.0,<=2024.6.1", extras = ["http"]}
+huggingface-hub = ">=0.21.2"
+multiprocess = "*"
+numpy = ">=1.17"
+packaging = "*"
+pandas = "*"
+pyarrow = ">=15.0.0"
+pyyaml = ">=5.1"
+requests = ">=2.32.2"
+tqdm = ">=4.66.3"
+xxhash = "*"
+
+[package.extras]
+apache-beam = ["apache-beam (>=2.26.0)"]
+audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "transformers (>=4.42.0)", "typing-extensions (>=4.6.1)", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"]
+jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
+metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk (<3.8.2)", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
+quality = ["ruff (>=0.3.0)"]
+s3 = ["s3fs"]
+tensorflow = ["tensorflow (>=2.6.0)"]
+tensorflow-gpu = ["tensorflow (>=2.6.0)"]
+tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "transformers (>=4.42.0)", "typing-extensions (>=4.6.1)", "zstandard"]
+tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "typing-extensions (>=4.6.1)", "zstandard"]
+torch = ["torch"]
+vision = ["Pillow (>=9.4.0)"]
+
 [[package]]
 name = "debugpy"
 version = "1.8.7"
@@ -500,6 +861,21 @@ test = ["GitPython (<3.1.19)", "Jinja2", "compel (==0.1.8)", "datasets", "invisi
 torch = ["accelerate (>=0.31.0)", "torch (>=1.4,<2.5.0)"]
 training = ["Jinja2", "accelerate (>=0.31.0)", "datasets", "peft (>=0.6.0)", "protobuf (>=3.20.3,<4)", "tensorboard"]
 
+[[package]]
+name = "dill"
+version = "0.3.8"
+description = "serialize all of Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
+    {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
+]
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+profile = ["gprof2dot (>=2022.7.29)"]
+
 [[package]]
 name = "distlib"
 version = "0.3.9"
@@ -511,6 +887,31 @@ files = [
     {file = "distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403"},
 ]
 
+[[package]]
+name = "docker-pycreds"
+version = "0.4.0"
+description = "Python bindings for the docker credentials store API"
+optional = false
+python-versions = "*"
+files = [
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+]
+
+[package.dependencies]
+six = ">=1.4.0"
+
+[[package]]
+name = "dol"
+version = "0.2.80"
+description = "Base builtin tools make and transform data object layers (dols)."
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "einops"
 version = "0.8.0"
@@ -550,6 +951,17 @@ files = [
 [package.extras]
 tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
+[[package]]
+name = "fancy-einsum"
+version = "0.0.3"
+description = "Drop-in replacement for torch/numpy einsum, with descriptive variable names in equations"
+optional = false
+python-versions = ">=3.6"
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+]
+
 [[package]]
 name = "filelock"
 version = "3.16.1"
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 unicode = ["unicodedata2 (>=15.1.0)"]
 woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 
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+    {file = "frozenlist-1.5.0.tar.gz", hash = "sha256:81d5af29e61b9c8348e876d442253723928dce6433e0e76cd925cd83f1b4b817"},
+]
+
 [[package]]
 name = "fsspec"
-version = "2024.10.0"
+version = "2024.6.1"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2024.10.0-py3-none-any.whl", hash = "sha256:03b9a6785766a4de40368b88906366755e2819e758b83705c88cd7cb5fe81871"},
-    {file = "fsspec-2024.10.0.tar.gz", hash = "sha256:eda2d8a4116d4f2429db8550f2457da57279247dd930bb12f821b58391359493"},
+    {file = "fsspec-2024.6.1-py3-none-any.whl", hash = "sha256:3cb443f8bcd2efb31295a5b9fdb02aee81d8452c80d28f97a6d0959e6cee101e"},
+    {file = "fsspec-2024.6.1.tar.gz", hash = "sha256:fad7d7e209dd4c1208e3bbfda706620e0da5142bebbd9c384afb95b07e798e49"},
 ]
 
+[package.dependencies]
+aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
+
 [package.extras]
 abfs = ["adlfs"]
 adl = ["adlfs"]
@@ -676,6 +1192,64 @@ test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,
 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "gitdb"
+version = "4.0.11"
+description = "Git Object Database"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
+    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
+]
+
+[package.dependencies]
+smmap = ">=3.0.1,<6"
+
+[[package]]
+name = "gitpython"
+version = "3.1.43"
+description = "GitPython is a Python library used to interact with Git repositories"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "GitPython-3.1.43-py3-none-any.whl", hash = "sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff"},
+    {file = "GitPython-3.1.43.tar.gz", hash = "sha256:35f314a9f878467f5453cc1fee295c3e18e52f1b99f10f6cf5b1682e968a9e7c"},
+]
+
+[package.dependencies]
+gitdb = ">=4.0.1,<5"
+
+[package.extras]
+doc = ["sphinx (==4.3.2)", "sphinx-autodoc-typehints", "sphinx-rtd-theme", "sphinxcontrib-applehelp (>=1.0.2,<=1.0.4)", "sphinxcontrib-devhelp (==1.0.2)", "sphinxcontrib-htmlhelp (>=2.0.0,<=2.0.1)", "sphinxcontrib-qthelp (==1.0.3)", "sphinxcontrib-serializinghtml (==1.1.5)"]
+test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions"]
+
+[[package]]
+name = "gprof2dot"
+version = "2024.6.6"
+description = "Generate a dot graph from the output of several profilers."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "gprof2dot-2024.6.6-py2.py3-none-any.whl", hash = "sha256:45b14ad7ce64e299c8f526881007b9eb2c6b75505d5613e96e66ee4d5ab33696"},
+    {file = "gprof2dot-2024.6.6.tar.gz", hash = "sha256:fa1420c60025a9eb7734f65225b4da02a10fc6dd741b37fa129bc6b41951e5ab"},
+]
+
+[[package]]
+name = "graze"
+version = "0.1.26"
+description = "Cache (a tiny part of) the internet"
+optional = false
+python-versions = "*"
+files = [
+    {file = "graze-0.1.26-py3-none-any.whl", hash = "sha256:329c6aaf6b4cf191f7ce99b6061ccd016c05783154d6b598c347e5777c9e5652"},
+    {file = "graze-0.1.26.tar.gz", hash = "sha256:38e8f798c382707fc9b65bed5cd1f56618e8b7500124790d5d883341ce4ce4e5"},
+]
+
+[package.dependencies]
+dol = "*"
+requests = "*"
+
 [[package]]
 name = "h11"
 version = "0.14.0"
@@ -687,6 +1261,52 @@ files = [
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
 ]
 
+[[package]]
+name = "httpcore"
+version = "1.0.6"
+description = "A minimal low-level HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpcore-1.0.6-py3-none-any.whl", hash = "sha256:27b59625743b85577a8c0e10e55b50b5368a4f2cfe8cc7bcfa9cf00829c2682f"},
+    {file = "httpcore-1.0.6.tar.gz", hash = "sha256:73f6dbd6eb8c21bbf7ef8efad555481853f5f6acdeaff1edb0694289269ee17f"},
+]
+
+[package.dependencies]
+certifi = "*"
+h11 = ">=0.13,<0.15"
+
+[package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<1.0)"]
+
+[[package]]
+name = "httpx"
+version = "0.27.2"
+description = "The next generation HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
+    {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
+]
+
+[package.dependencies]
+anyio = "*"
+certifi = "*"
+httpcore = "==1.*"
+idna = "*"
+sniffio = "*"
+
+[package.extras]
+brotli = ["brotli", "brotlicffi"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
+
 [[package]]
 name = "huggingface-hub"
 version = "0.26.1"
@@ -721,6 +1341,17 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gr
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
+[[package]]
+name = "i2"
+version = "0.1.34"
+description = "Creating"
+optional = false
+python-versions = "*"
+files = [
+    {file = "i2-0.1.34-py3-none-any.whl", hash = "sha256:9785068e519fed501ca75dc4d2c199dbc27d6ee584a42658dde10bb9aed0cb61"},
+    {file = "i2-0.1.34.tar.gz", hash = "sha256:b831a95097cf589a38a9d5a934f760de6511335f166e09bb12bd052d32db3462"},
+]
+
 [[package]]
 name = "identify"
 version = "2.6.1"
@@ -772,6 +1403,25 @@ perf = ["ipython"]
 test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
+[[package]]
+name = "importlib-resources"
+version = "6.4.5"
+description = "Read resources from Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
+    {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
+type = ["pytest-mypy"]
+
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
@@ -854,6 +1504,20 @@ qtconsole = ["qtconsole"]
 test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
 test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
 
+[[package]]
+name = "jaxtyping"
+version = "0.2.34"
+description = "Type annotations and runtime checking for shape and dtype of JAX arrays, and PyTrees."
+optional = false
+python-versions = "~=3.9"
+files = [
+    {file = "jaxtyping-0.2.34-py3-none-any.whl", hash = "sha256:2f81fb6d1586e497a6ea2d28c06dcab37b108a096cbb36ea3fe4fa2e1c1f32e5"},
+    {file = "jaxtyping-0.2.34.tar.gz", hash = "sha256:eed9a3458ec8726c84ea5457ebde53c964f65d2c22c0ec40d0555ae3fed5bbaf"},
+]
+
+[package.dependencies]
+typeguard = "2.13.3"
+
 [[package]]
 name = "jedi"
 version = "0.19.1"
@@ -1066,6 +1730,138 @@ files = [
     {file = "kiwisolver-1.4.7.tar.gz", hash = "sha256:9893ff81bd7107f7b685d3017cc6583daadb4fc26e4a888350df530e41980a60"},
 ]
 
+[[package]]
+name = "lxml"
+version = "4.9.4"
+description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*"
+files = [
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 version = "3.0.2"
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 [package.dependencies]
 traitlets = "*"
 
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 tests = ["pytest (>=4.6)"]
 
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 [package.extras]
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 ]
 
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@@ -2473,6 +3767,25 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "rich"
+version = "13.9.3"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+
+[package.dependencies]
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+pygments = ">=2.13.0,<3.0.0"
+typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
 [[package]]
 name = "ruff"
 version = "0.5.7"
@@ -2500,6 +3813,40 @@ files = [
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 ]
 
+[[package]]
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+version = "4.0.9"
+description = "Training and Analyzing Sparse Autoencoders (SAEs)"
+optional = false
+python-versions = "<4.0,>=3.10"
+files = [
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+[package.dependencies]
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+babe = ">=0.0.7,<0.0.8"
+datasets = ">=2.17.1,<3.0.0"
+matplotlib = ">=3.8.3,<4.0.0"
+matplotlib-inline = ">=0.1.6,<0.2.0"
+nltk = ">=3.8.1,<4.0.0"
+plotly = ">=5.19.0,<6.0.0"
+plotly-express = ">=0.4.1,<0.5.0"
+pytest-profiling = ">=1.7.0,<2.0.0"
+python-dotenv = ">=1.0.1,<2.0.0"
+pyyaml = ">=6.0.1,<7.0.0"
+pyzmq = "26.0.0"
+safetensors = ">=0.4.2,<0.5.0"
+transformer-lens = ">=2.0.0,<3.0.0"
+transformers = ">=4.38.1,<5.0.0"
+typer = ">=0.12.3,<0.13.0"
+typing-extensions = ">=4.10.0,<5.0.0"
+zstandard = ">=0.22.0,<0.23.0"
+
+[package.extras]
+mamba = ["mamba-lens (>=0.0.4,<0.0.5)"]
+
 [[package]]
 name = "safetensors"
 version = "0.4.5"
@@ -2815,6 +4162,158 @@ files = [
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 ]
 
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+version = "2.17.0"
+description = "Python client for Sentry (https://sentry.io)"
+optional = false
+python-versions = ">=3.6"
+files = [
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+
+[package.dependencies]
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+urllib3 = ">=1.26.11"
+
+[package.extras]
+aiohttp = ["aiohttp (>=3.5)"]
+anthropic = ["anthropic (>=0.16)"]
+arq = ["arq (>=0.23)"]
+asyncpg = ["asyncpg (>=0.23)"]
+beam = ["apache-beam (>=2.12)"]
+bottle = ["bottle (>=0.12.13)"]
+celery = ["celery (>=3)"]
+celery-redbeat = ["celery-redbeat (>=2)"]
+chalice = ["chalice (>=1.16.0)"]
+clickhouse-driver = ["clickhouse-driver (>=0.2.0)"]
+django = ["django (>=1.8)"]
+falcon = ["falcon (>=1.4)"]
+fastapi = ["fastapi (>=0.79.0)"]
+flask = ["blinker (>=1.1)", "flask (>=0.11)", "markupsafe"]
+grpcio = ["grpcio (>=1.21.1)", "protobuf (>=3.8.0)"]
+http2 = ["httpcore[http2] (==1.*)"]
+httpx = ["httpx (>=0.16.0)"]
+huey = ["huey (>=2)"]
+huggingface-hub = ["huggingface-hub (>=0.22)"]
+langchain = ["langchain (>=0.0.210)"]
+litestar = ["litestar (>=2.0.0)"]
+loguru = ["loguru (>=0.5)"]
+openai = ["openai (>=1.0.0)", "tiktoken (>=0.3.0)"]
+opentelemetry = ["opentelemetry-distro (>=0.35b0)"]
+opentelemetry-experimental = ["opentelemetry-distro"]
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+pymongo = ["pymongo (>=3.1)"]
+pyspark = ["pyspark (>=2.4.4)"]
+quart = ["blinker (>=1.1)", "quart (>=0.16.1)"]
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+
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 version = "75.2.0"
@@ -2835,6 +4334,17 @@ enabler = ["pytest-enabler (>=2.2)"]
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 type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.11.*)", "pytest-mypy"]
 
+[[package]]
+name = "shellingham"
+version = "1.5.4"
+description = "Tool to Detect Surrounding Shell"
+optional = false
+python-versions = ">=3.7"
+files = [
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 version = "1.1.0"
@@ -2864,6 +4374,28 @@ files = [
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 ]
 
+[[package]]
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+description = "A pure Python implementation of a sliding window memory map manager"
+optional = false
+python-versions = ">=3.7"
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+description = "Sniff out which async library your code is running under"
+optional = false
+python-versions = ">=3.7"
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+
 [[package]]
 name = "stack-data"
 version = "0.6.3"
@@ -2883,6 +4415,57 @@ pure-eval = "*"
 [package.extras]
 tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
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+packaging = ">=21.3"
+pandas = ">=1.4,<2.1.0 || >2.1.0"
+patsy = ">=0.5.6"
+scipy = ">=1.8,<1.9.2 || >1.9.2"
+
+[package.extras]
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+docs = ["ipykernel", "jupyter-client", "matplotlib", "nbconvert", "nbformat", "numpydoc", "pandas-datareader", "sphinx"]
+
 [[package]]
 name = "sympy"
 version = "1.13.1"
@@ -2914,6 +4497,21 @@ files = [
 [package.dependencies]
 pytest = ">=7.0.0,<9.0.0"
 
+[[package]]
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+version = "9.0.0"
+description = "Retry code until it succeeds"
+optional = false
+python-versions = ">=3.8"
+files = [
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+[package.extras]
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+test = ["pytest", "tornado (>=4.5)", "typeguard"]
+
 [[package]]
 name = "threadpoolctl"
 version = "3.5.0"
@@ -2925,6 +4523,58 @@ files = [
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 ]
 
+[[package]]
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+version = "0.6.0"
+description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
+optional = false
+python-versions = ">=3.8"
+files = [
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+requests = ">=2.26.0"
+
+[package.extras]
+blobfile = ["blobfile (>=2)"]
+
 [[package]]
 name = "tokenizers"
 version = "0.20.1"
@@ -3198,6 +4848,41 @@ files = [
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 test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
 
+[[package]]
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+version = "2.8.1"
+description = "An implementation of transformers tailored for mechanistic interpretability."
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
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+einops = ">=0.6.0"
+fancy-einsum = ">=0.0.3"
+jaxtyping = ">=0.2.11"
+numpy = [
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+    {version = ">=1.26", markers = "python_version >= \"3.12\" and python_version < \"3.13\""},
+]
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+rich = ">=12.6.0"
+sentencepiece = "*"
+torch = [
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+    {version = ">=1.10", markers = "sys_platform == \"linux\""},
+]
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+transformers = ">=4.37.2"
+typing-extensions = "*"
+wandb = ">=0.13.5"
+
 [[package]]
 name = "transformers"
 version = "4.46.0"
@@ -3289,6 +4974,38 @@ build = ["cmake (>=3.20)", "lit"]
 tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
 tutorials = ["matplotlib", "pandas", "tabulate"]
 
+[[package]]
+name = "typeguard"
+version = "2.13.3"
+description = "Run-time type checker for Python"
+optional = false
+python-versions = ">=3.5.3"
+files = [
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+test = ["mypy", "pytest", "typing-extensions"]
+
+[[package]]
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+version = "0.12.5"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+optional = false
+python-versions = ">=3.7"
+files = [
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+rich = ">=10.11.0"
+shellingham = ">=1.3.0"
+typing-extensions = ">=3.7.4.3"
+
 [[package]]
 name = "typing-extensions"
 version = "4.12.2"
@@ -3328,6 +5045,57 @@ h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
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+python-versions = ">=3.8.0"
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+[package.extras]
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+docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"]
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+
 [[package]]
 name = "virtualenv"
 version = "20.27.0"
@@ -3348,6 +5116,52 @@ platformdirs = ">=3.9.1,<5"
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
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+[[package]]
+name = "wandb"
+version = "0.18.5"
+description = "A CLI and library for interacting with the Weights & Biases API."
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.0"
+
 [[package]]
 name = "zipp"
 version = "3.20.2"
@@ -3408,7 +5450,68 @@ enabler = ["pytest-enabler (>=2.2)"]
 test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
+[[package]]
+name = "zstandard"
+version = "0.22.0"
+description = "Zstandard bindings for Python"
+optional = false
+python-versions = ">=3.8"
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+    {file = "zstandard-0.22.0.tar.gz", hash = "sha256:8226a33c542bcb54cd6bd0a366067b610b41713b64c9abec1bc4533d69f51e70"},
+]
+
+[package.dependencies]
+cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
+
+[package.extras]
+cffi = ["cffi (>=1.11)"]
+
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "2bcac4197f981611998866a2b15f913e55fd3aad21d63cae375c391ec501f59d"
+content-hash = "3134a8d9ce91d7139e67c233e38558ecd9eed7314c71396b6ed94395932fab46"
diff --git a/probe_lens/experiments/experiments.py b/probe_lens/experiments/experiments.py
index bf6ed5c..eb88f5b 100644
--- a/probe_lens/experiments/experiments.py
+++ b/probe_lens/experiments/experiments.py
@@ -1,5 +1,11 @@
 from abc import ABC, abstractmethod
 
+import torch
+import torch.nn.functional as F
+from sae_lens import SAE, HookedSAETransformer
+from tqdm.autonotebook import tqdm
+from transformer_lens import HookedTransformer
+
 """
 Probe experiments are used to generate data for probing tasks.
 """
@@ -16,3 +22,39 @@ def __repr__(self) -> str:
     @abstractmethod
     def get_data(self) -> list[tuple[str, int]]:
         pass
+
+    @abstractmethod
+    def get_classes(self) -> list[str]:
+        pass
+
+    def generate_probe_data(
+        self,
+        hooked_model: HookedSAETransformer | HookedTransformer,
+        sae: SAE | None = None,
+        device: str = "cpu",  # consistent with sae_lens and transformer_lens
+    ) -> torch.utils.data.TensorDataset:
+        sae_acts = []
+        answer_classes = []
+        for i, (prompt, answer_class) in enumerate(
+            tqdm(self.get_data(), desc="Generating probe data")
+        ):
+            if sae is not None:
+                _, cache = hooked_model.run_with_cache_with_saes(
+                    prompt, saes=[sae], stop_at_layer=sae.cfg.hook_layer + 1
+                )
+                sae_acts.append(
+                    cache[sae.cfg.hook_name + ".hook_sae_acts_post"][0, -1, :]
+                )
+            else:
+                raise ValueError("Not implemented for non-SAE models.")
+
+            answer_classes.append(answer_class)
+
+        one_hot_answer_classes = F.one_hot(
+            torch.tensor(answer_classes, device=device),
+            num_classes=len(self.get_classes()),
+        ).float()
+        dataset = torch.utils.data.TensorDataset(
+            torch.stack(sae_acts), one_hot_answer_classes
+        )
+        return dataset
diff --git a/probe_lens/experiments/spelling.py b/probe_lens/experiments/spelling.py
index 8955c22..7d9f27b 100644
--- a/probe_lens/experiments/spelling.py
+++ b/probe_lens/experiments/spelling.py
@@ -1,5 +1,7 @@
 from typing import Callable
 
+import requests
+
 from probe_lens.experiments.experiments import ProbeExperiment
 
 LETTERS = "abcdefghijklmnopqrstuvwxyz"
@@ -17,7 +19,7 @@ def first_letter_index(word: str):
 class FirstLetterSpelling(ProbeExperiment):
     def __init__(
         self,
-        words: list[str],
+        words: list[str] = requests.get(WORDS_DATASET).text.splitlines(),
         prompt_fn: Callable[[str], str] = default_spelling_prompt_generator,
         class_fn: Callable[[str], int] = first_letter_index,
     ):
@@ -25,12 +27,16 @@ def __init__(
         self.words = words
         self.prompt_fn = prompt_fn
         self.class_fn = class_fn
+        self.class_names = list(LETTERS)
         self.generate_data()
 
     def generate_data(self):
-        self.classes = [self.class_fn(word) for word in self.words]
         self.prompts = [self.prompt_fn(word) for word in self.words]
+        self.classes = [self.class_fn(word) for word in self.words]
         self.data = list(zip(self.prompts, self.classes))
 
     def get_data(self) -> list[tuple[str, int]]:
         return self.data
+
+    def get_classes(self) -> list[str]:
+        return self.class_names
diff --git a/probe_lens/probes.py b/probe_lens/probes.py
index d50f789..c644bf9 100644
--- a/probe_lens/probes.py
+++ b/probe_lens/probes.py
@@ -55,13 +55,25 @@ def visualize_performance(
             plt.show()
         return plt
 
+    def accuracy(self, dataloader: torch.utils.data.DataLoader):
+        preds = []
+        gts = []
+        for X, y in dataloader:
+            pred = self(X)
+            gt = y.argmax(dim=1)
+            preds.append(pred.argmax(dim=1))
+            gts.append(gt)
+        preds = torch.cat(preds)
+        gts = torch.cat(gts)
+        return (preds == gts).sum().item() / len(preds)
+
     def train_probe(
         self,
         dataloader: torch.utils.data.DataLoader,
         optimizer: torch.optim.Optimizer,
         val_dataloader: torch.utils.data.DataLoader | None = None,
         loss_fn: nn.Module = nn.BCEWithLogitsLoss(),
-        epochs: int = 10,
+        epochs: int = 1000,
         verbose: bool = True,
     ):
         tqdm_epochs = tqdm(range(epochs), desc="Training Probe", unit="epoch")
diff --git a/pyproject.toml b/pyproject.toml
index 5cbbbfd..c8a6b1c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,6 +13,8 @@ torch = "^2.5.0"
 matplotlib = "^3.9.2"
 scikit-learn = "^1.5.2"
 seaborn = "^0.13.2"
+sae-lens = "^4.0.9"
+transformer-lens = "^2.8.1"
 
 [tool.poetry.group.dev.dependencies]
 ruff = "^0.5.1"
diff --git a/tests/experiments/test_spelling.py b/tests/experiments/test_spelling.py
index c377278..537512b 100644
--- a/tests/experiments/test_spelling.py
+++ b/tests/experiments/test_spelling.py
@@ -1,4 +1,17 @@
+import torch
+from sae_lens import SAE, HookedSAETransformer
+from torch.utils.data import DataLoader
+
 from probe_lens.experiments.spelling import LETTERS, FirstLetterSpelling
+from probe_lens.probes import LinearProbe
+
+DEVICE = (
+    "cuda"
+    if torch.cuda.is_available()
+    else "mps"
+    if torch.backends.mps.is_available()
+    else "cpu"
+)
 
 
 def test_first_letter_spelling():
@@ -7,3 +20,43 @@ def test_first_letter_spelling():
     data = spelling_task.data
     classes = [c for _, c in data]
     assert classes == [LETTERS.index(word.lower()[0]) for word in words]
+
+
+def test_first_letter_spelling_default_dataset():
+    spelling_task = FirstLetterSpelling()
+    assert len(spelling_task.data) == 10000
+
+
+def test_first_letter_spelling_probe_data():
+    words = ["example", "words", "to", "spell"]
+    spelling_task = FirstLetterSpelling(words)
+    model = HookedSAETransformer.from_pretrained_no_processing(
+        "gpt2-small", device=DEVICE
+    )
+    sae, cfg_dict, sparsity = SAE.from_pretrained(
+        release="gpt2-small-res-jb",  # see other options in sae_lens/pretrained_saes.yaml
+        sae_id="blocks.8.hook_resid_pre",  # won't always be a hook point
+        device=DEVICE,
+    )
+    dataset = spelling_task.generate_probe_data(model, sae, device=DEVICE)
+    assert len(dataset) == len(words)
+
+
+def test_first_letter_spelling_probe_training():
+    words = ["example", "words", "to", "spell"]
+    spelling_task = FirstLetterSpelling(words)
+    model = HookedSAETransformer.from_pretrained_no_processing(
+        "gpt2-small", device=DEVICE
+    )
+    sae, cfg_dict, sparsity = SAE.from_pretrained(
+        release="gpt2-small-res-jb",  # see other options in sae_lens/pretrained_saes.yaml
+        sae_id="blocks.8.hook_resid_pre",  # won't always be a hook point
+        device=DEVICE,
+    )
+    dataset = spelling_task.generate_probe_data(model, sae, device=DEVICE)
+    dataloader = DataLoader(dataset, batch_size=2, shuffle=True)
+    X, y = next(iter(dataloader))
+    probe = LinearProbe(X.shape[1], y.shape[1], device=DEVICE, class_names=LETTERS)
+    probe.train_probe(
+        dataloader, torch.optim.SGD(probe.parameters(), lr=0.01), val_dataloader=None
+    )
diff --git a/tests/test_probes.py b/tests/test_probes.py
index 16adad3..5b241da 100644
--- a/tests/test_probes.py
+++ b/tests/test_probes.py
@@ -44,7 +44,7 @@ def test_linear_probe_training():
         optimizer=torch.optim.SGD(model.parameters(), lr=0.01),
         val_dataloader=dataloader,
         loss_fn=nn.MSELoss(),
-        epochs=1000,
+        epochs=5000,
         verbose=True,
     )
     print("Model weights: ", model.linear.weight)
@@ -84,3 +84,4 @@ def test_linear_probe_visualization():
         plot.gca().get_title()
         == f"Confusion Matrix (Accuracy: {accuracy:.4f}, F2 Score: {f2_score:.4f})"
     )
+    assert model.accuracy(dataloader) == accuracy