Semantic Optimal Transport for Sparse Autoencoder Feature Matching and Circuit Compression.

arXiv:2605.28567v3 Announce Type: replace-cross Abstract: Sparse autoencoders (SAEs) have become a central tool for interpreting language models. However, two key SAE analyses that remain difficult to scale are (1) matching semantically similar features across