Teodor Chiaburu

Verifying the Linear Representation Hypothesis: How Interpretable Are Vision SAEs?

Vision Sparse Autoencoders (SAEs) have become a popular tool in Mechanistic Interpretability due to their presumed ability to disentangle complex features learned by a model into monosemantic concepts. Despite their growing popularity, evaluating their interpretability remains an active topic of research. The bedrock m...