Hi, I was wondering if there is a detailed tutorial or guide available for fine-tuning a Sparse Autoencoder (SAE). Specifically, I am interested in understanding the steps and best practices for adapting a pre-trained SAE model to a new task or dataset. Any resources or instructions would be very helpful!
Hi, I was wondering if there is a detailed tutorial or guide available for fine-tuning a Sparse Autoencoder (SAE). Specifically, I am interested in understanding the steps and best practices for adapting a pre-trained SAE model to a new task or dataset. Any resources or instructions would be very helpful!