Update app.py

app.py

@@ -142,7 +142,7 @@ def run_interpretation(raw_original_prompt, raw_interpretation_prompt, max_new_t
     # diff_score = F.normalize(vectors_to_compare, dim=-1).diff(dim=0).norm(dim=-1)
     bags_of_words = [set(tokenizer.tokenize(text)) for text in generation_texts]
     diff_score = torch.tensor([
-                                len(bags_of_words[i+1] & bags_of_words[i]) / np.sqrt(len(bags_of_words[i+1]) * len(bags_of_words[i]))
+                                -len(bags_of_words[i+1] & bags_of_words[i]) / np.sqrt(len(bags_of_words[i+1]) * len(bags_of_words[i]))
                                 for i in range(len(bags_of_words)-1)
                               ])
     avoid_first, avoid_last = 2, 1 # layers that are usually never important