Sparse Autoencoders Reveal Interpretable Structure in Small Gene Language Models

Haoxiang Guan, Jiyan He, Jie Zhang

Sparse autoencoders (SAEs) have recently emerged as a powerful tool for interpreting the internal representations of large language models (LLMs), revealing latent latent features…