SAIL: Sparse Autoencoders for Interpretable Alignment of Human Vision and Multimodal Large Language Models
Alignment between human high-level visual representations and those of multimodal large language models (MLLMs) offers a quantitative framework for understanding information processing in human vision. However, similarities between model and brain representations do not directly reveal the semantic content underlying t...