framework

active

framework:reve

REVE

EEG transformer foundation model (representation model) analyzed in the study.

Neighborhood — ranked by edge-count

Papers (1)

paper

Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders
mentions

Concepts (1)

concept

EEG foundation models
associated_with
Large transformer models pretrained on EEG data for clinical tasks; the object of interpretability in this paper.

Events (1)

event

Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders (2026)
mentions
Preprint applying TopK SAEs to three EEG transformers to reveal sparse feature dictionaries, steering regimes, and spectral interpretation.