Sparse Autoencoders Reveal Interpretable Features in Single-Cell Foundation Models
Flavia Pedrocchi, Florian Barkmann, Amir Joudaki, Valentina Boeva
This study uses sparse autoencoders to analyze hidden representations in single-cell foundation models, revealing interpretable biological and technical features and demonstrating their functional relevance.
bioRxiv · Oct 22, 2025 · PreprintBioinformatics