most citedWorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

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cs.LG2025

Sparse Autoencoder Features for Classifications and Transferability

Jack Gallifant, Shan Chen, Kuleen Sasse +3

Sparse Autoencoders (SAEs) provide potentials for uncovering structured, human-interpretable representations in Large Language Models (LLMs), making them a crucial tool for transpa…