Sarwan Ali

Causal dictionary learning reveals and validates transcription-factor binding features in genomic language models

A framework that combines sparse dictionary learning with causal intervention to extract, validate, and causally test interpretable features in genomic foundation models is introduced, and a reusable standard for interpretability claims in genomic deep learning is provided.