AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders

Georgii Aparin, Tasnima Sadekova, Alexey Rukhovich +5

Sparse Autoencoders (SAEs) are powerful tools for interpreting neural representations, yet their use in audio remains underexplored. We train SAEs across all encoder layers of Whis…