MedSAE neurons extracted from MedCLIP achieve higher monosemanticity and interpretability than raw features on CheXpert, measured via correlation, entropy, and automated naming with MedGemma.
A survey on deep learning applied to medical images: from simple artificial neural networks to generative models,
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MedSAE: Dissecting MedCLIP Representations with Sparse Autoencoders
MedSAE neurons extracted from MedCLIP achieve higher monosemanticity and interpretability than raw features on CheXpert, measured via correlation, entropy, and automated naming with MedGemma.