When Is an SAE Feature Interpretable? A Validation Ladder for EEG Foundation Models

Yucong Cao, Chenqi Li, Tingting Zhu

Sparse autoencoders (SAEs) decompose dense model activations into discrete latents, making individual features easy to interpret--and easy to misinterpret. In EEG foundation models…