Survey and Forecast of Application of Quantum Computing to Deep Learning:

• surveyed work in quantum machine learning + connected to deep learning pipeline
• Analyzed quantum computing trends
• improved quantum forecast models

[https://drive.google.com/file/d/1N1AKKG88xuNHlW6hhrN1vIj-ecNxRV4_/view?usp=sharing](https://drive.google.com/file/d/1N1AKKG88xuNHlW6hhrN1vIj-ecNxRV4_/view?usp=sharing)

Study of Faithfulness in LLM Classification

Found task where LLM’s stated reasoning did not mach the reasons it articulates. Studied ways to prompt the LLM to give true information.

LLMResults.pdf

Reading The Dictionary

A study of how Dictionary learning scales with the size of the dictionary. Discovered many new interpretable features in transformers.

LeelaGo Mechanistic Interpretability

https://docs.google.com/presentation/d/1nSOL0pim1w7GKrexbSd_uINJ0wyVowovWW3W65SRstY/edit#slide=id.p

Studied how AIs make strategic decisions in the game of Go (using PyTorch). Worked on classifying structures in the neural network Leela Zero responsible for the strategic move of Atari.

Automated Design of Quantum Experiments