Update README.md

README.md

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-This is trained model parameters of the **S**entence-level, **S**upervised, **S**parse **A**uto**E**ncoder (S3AE) proposed in the paper ["Emergence of psychopathological computations in large language models"](https://arxiv.org/abs/2504.08016). 
-Codes with model architecture and use examples can be found in this [Github](https://github.com/syleeheal/Machine_Psychopathology).
+This is trained parameters of the **S**entence-level, **S**upervised, **S**parse **A**uto**E**ncoder (S3AE) proposed in the paper ["Emergence of psychopathological computations in large language models"](https://arxiv.org/abs/2504.08016). 
+Codes with S3AE architecture and use examples can be found in this [Github](https://github.com/syleeheal/Machine_Psychopathology).
 
-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.
+S3AE 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.
 
 The 1st to 17th dimensions of S3AE hidden features, respectively, correspond to activations of the following thoughts: