SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders
DGX agentarXiv:2605.06610v2 Announce Type: replace-cross Abstract: Sparse Autoencoders (SAEs) have become an important tool in mechanistic interpretability, helping to analyze internal representations in both