Beyond SAEs: Consistent Concept Discovery with Sparse Coding.

arXiv:2610.23801v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) explain foundation model representations by decomposing activations into sparse combinations of learned dictionary atoms. However, the learned dictionaries can vary across training runs