LUKE MARKS

This is the personal website of Luke Marks.

I am reachable at marksluke076[at]gmail[dot]com.

Publications

• Interpreting learned feedback patterns in large language models (accepted to NeurIPS 2024)
• Informal safety guarantees for simulated optimizers through extrapolation from partial simulations
• Forthcoming - Mutual regularization for sparse autoencoders

Other

• Received a grant from Lightspeed Grants in 2023.
• Became a Non-Trivial Fellow in 2023.
• Was a research fellow at Apart Research in 2023.
• Became a Magnificent Grantee in 2024.
• Was a summer intern at the Torr Vision Group in 2024.
• Received a grant from BERI in 2024.
• Received a grant from Emergent Ventures in 2024.
• Dropped out of highschool in 2024.

Interests

• Sparse autoencoders for neural network interpretability
• Deep learning theory
• Mind uploading
• Homomorphic encryption

Projects

• BadTransformer: Simple transformer implemented with only NumPy and Python as dependencies.