Sparse autoencoders reveal interpretable cell-type programs in single-cell foundation model representations
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Objective: Single-cell foundation models such as scGPT learn rich representations of cellular identity, yet the biological programs encoded in their internal activations remain opaque. We investigate whether sparse autoencoders (... ...
