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NainaniJatinZ/README.md

👋 Hi, I’m Jatin!

Explorer first, researcher second, engineer third.

I’m deeply fascinated by intelligence and reasoning, both in narrow and general contexts. My core interests lie in reverse-engineering systems like Large Language Models (LLMs) and diffusion models, particularly exploring their non-trivial capabilities.

Currently, I’m pursuing an MS in Computer Science at UMass Amherst, working on my thesis in Mechanistic Interpretability under the guidance of Prof. David Jensen and Prof. Anna Green (Preliminary report coming soon!).

🔗 Connect With Me:

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Recent Highlights:

  • Got into Neel Nanda's MATs Training Phase
  • Completed summer internship at NVIDIA, working on using LLM agents for Chip Design and VLSI

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  1. CircuitAnalysisSAEs CircuitAnalysisSAEs Public

    HTML 1

  2. CircuitDiscovery4ModularTraining CircuitDiscovery4ModularTraining Public

    Code accompanying the research paper: https://arxiv.org/abs/2401.03646

    Jupyter Notebook

  3. diffusion_policy_interp diffusion_policy_interp Public

    Reverse engineering Diffusion Policy: Visuomotor Policy Learning via Action Diffusion https://arxiv.org/pdf/2303.04137v4

    Jupyter Notebook

  4. ExplainingFeaturesWithCircuits ExplainingFeaturesWithCircuits Public

    Jupyter Notebook

  5. MechInterpCodeLLMs MechInterpCodeLLMs Public

    Jupyter Notebook

  6. OptSAE OptSAE Public

    SAE inference optimized for patching, steering and ablating with GPUs.

    Jupyter Notebook