Sparse Autoencoders for Expert-Assisted Interpretation of Histopathology Foundation Model Embeddings

Histopathology foundation models learn rich embedding representations, but their internal structure remains difficult to inspect. Concept-level interpretability is particularly relevant in computational pathology because pathologists reason through recurring morphological and tissue-level patterns,