Line-spacing fix

Author: saireddythfc

delphi/scorers/intervention/surprisal_intervention_scorer.py

@@ -177,7 +177,8 @@ def _get_intervention_vector(self, sae: Any, feature_id: int) -> torch.Tensor:
         one_hot_activation = torch.zeros(1, 1, d_latent, device=sae_device)
 
         if feature_id >= d_latent:
-            print(f"DEBUG: ERROR - Feature ID {feature_id} is out of bounds for d_latent {d_latent}")
+            print(f"""DEBUG: ERROR - Feature ID {feature_id} is out of bounds 
+                  for d_latent {d_latent}""")
             return torch.zeros(1)
 
         one_hot_activation[0, 0, feature_id] = 1.0
@@ -576,22 +577,25 @@ def _get_sae_for_hookpoint(self, hookpoint_str: str, record: LatentRecord) -> An
 
         if candidate is None:
             # This will raise an error if the key isn't found
-            raise ValueError(f"ERROR: Surprisal scorer could not find an SAE for hookpoint '{hookpoint_str}' in self.explainer_model")
+            raise ValueError(f"ERROR: Surprisal scorer could not find an SAE "
+                        f"for hookpoint '{hookpoint_str}' in self.explainer_model")
 
         if isinstance(candidate, functools.partial):
             # As shown in load_sparsify.py, the SAE is in the 'sae' keyword.
             if candidate.keywords and "sae" in candidate.keywords:
                 return candidate.keywords["sae"]  # Unwrapped successfully
             else:
                 # This will raise an error if the partial is missing the keyword
-                raise ValueError(f"""ERROR: Found a partial for {hookpoint_str} but could not
+                raise ValueError(f"""ERROR: Found a partial for 
+                    {hookpoint_str} but could not
                     find the 'sae' keyword.
                     func: {candidate.func}
                     args: {candidate.args}
                     keywords: {candidate.keywords}""")
 
         # This will raise an error if the candidate isn't a partial
-        raise ValueError(f"ERROR: Candidate for {hookpoint_str} was not a partial object, which was not expected. Type: {type(candidate)}")
+        raise ValueError(f"""ERROR: Candidate for {hookpoint_str} was not a partial 
+                        object, which was not expected. Type: {type(candidate)}""")
 
     def _get_intervention_direction(self, record: LatentRecord) -> torch.Tensor:
         hookpoint_str = self.hookpoint_str or getattr(record, "hookpoint", None)