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I'm a machine learning researcher. Recently, I've been focusing on understanding LLMs through the lens of mechanistic interpretability; see my website for up-to-date publications.

I also made a framework to automate tracking my ML experiments. Maybe you'll find it useful and interesting too.

Featured work

  1. amakelov/mandala

    A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python

    Jupyter Notebook 518

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