A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
Shu, Wu, Zhao, Rai, Yao, Liu, Du (2025)
Sparse Autoencoder
A portal dedicated to sparse autoencoders in mechanistic interpretability.
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Latest Papers
Enhancing Automated Interpretability with Output-Centric Feature Descriptions
Gould et al. (2025)
From Mechanistic Interpretability to Mechanistic Biology: SAEs on Protein Language Models
Adams, Bai, Lee, Yu, AlQuraishi (2025)
Gemma Scope 2 (SAEs on Gemma 3 family)
DeepMind (2025)
Interpretability Illusions with Sparse Autoencoders
Anonymous (2025)