Georg Lange
Georg Lange Georg Lange

Independent Researcher

Biography

I’m an independent researcher working on Mechanistic Interpretability for LLMs. I was a MATS scholar and worked with Alex Makelov and Neel Nanda on Sparse Autoencoders and Distributed Alignment Search for feature detection and subspace activation patching. Previously, I was a MSc AI student at the University of Amsterdam, where I worked on brain-like interpretable spatiotemporal Computer Vision models, supervised by Prof Iris Groen and Amber Brands.

Further, I was a graduate student at the Graduate Center, CUNY, where I worked on Reinforcement Learning, Decision Making, and Reward Sensitization and conducted fiber photometry experiments in the Nucleus Accumbens of mice, supervised by Prof Jeff Beeler.

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Interests
  • Artificial Intelligence
  • Mechanistic Interpretability
  • Systems Neuroscience
Education
  • M.Sc. Artificial Intelligence

    University of Amsterdam

  • M.Sc. Cognitive Neuroscience

    Graduate Center, City University of New York

  • B.Sc. IT-Systems Engineering

    Hasso-Plattner-Institut, Potsdam

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