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README.md

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-This is the sentence-level, supervised, sparse autoencoder (S3AE) proposed in the paper "Emergence of psychopathological computations in large language models" (https://arxiv.org/abs/2504.08016).
+This is the sentence-level, supervised, sparse autoencoder (S3AE) proposed in the paper ["Emergence of psychopathological computations in large language models"](https://arxiv.org/abs/2504.08016).
 
 The model was trained on the residual stream in the 10th layer of instruction-tuned [Gemma 2 27B](https://huggingface.co/google/gemma-2-27b-it), using a proprietary synthetic dataset with psychopathology symptom labels. The model weight precision is bfloat16, and the hidden dimension size is 8 times that of the LLM residual stream.