Lina Takemaru

Interpreting Genomic Language Models using Sparse Autoencoders

Genomic language models (gLMs) achieve strong performance across diverse genomic prediction tasks, but their internal biological representations remain poorly understood. Sparse autoencoders (SAEs) have emerged as an interpretability tool in vision and natural language models, yet their applicabilit…