ScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection
DGX agentarXiv:2610.04905v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) are a central tool in mechanistic interpretability. However, existing SAEs are primarily trained per layer. The modeling subs