Aashiq Muhamed

Aashiq participated in the MATS Summer 2024 Cohort under the mentorship of Lucius Bushnaq and Jake Mendel (Apollo Research). His research on "Specialized Sparse Autoencoders for Interpreting Rare Concepts in LLMs" was published at Attrib NeurIPS 2024. The work explores effective strategies for learning subdomain tail features in modern sparse autoencoders (SAEs).

Aashiq holds a Master's degree from Stanford University and a Bachelor's degree from IIT Roorkee, where he was awarded the President's Gold Medal. Before transitioning to AI safety, he spent five years as an Applied Scientist at Amazon.

He is currently pursuing a Ph.D. in machine learning and alignment at Carnegie Mellon University. Learn more about his work at https://aashiqmuhamed.github.io/.