Manya Phutela

Towards Sparse Causal Features for Zero-shot Mutation Effect Prediction in a Protein Language Model

This work provides the first causal, feature-level account of zero-shot mutation effect prediction in a pLM, and introduces a sparse feature circuit framework that combines sparse autoencoders, integrated-gradients attribution, and activation patching to identify the latent features that causally mediate zero-shot muta...