Gribonval & Schnass

New theory explains how Sparse Autoencoders structure interpretable representations

A new research paper explores the theoretical underpinnings of Sparse Autoencoders (SAEs), a technique used to interpret complex neural network representations. The study proposes a framework to understand what SAEs ext…