Nnsight Remote Interpretability
원문: nnsight-remote-interpretability
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture
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nnsight: Transparent Access to Neural Network Internals nnsight (/ɛn.saɪt/) enables researchers to interpret and manipulate the internals of any PyTorch model, with the unique capability of running the same code locally on small models or remotely on massive models (70B+) via NDIF. GitHub : [ndif team/nnsight](https://github.com/ndif team/nnsight) (730+ stars) Paper : [NNsight and NDIF: Democratizing Access to Foundation Model Internals](https://arxiv.org/abs/2407.14561) (ICLR 2025) Key Value Proposition Write once, run anywhere : The same interpretability code works on GPT 2 locally or Llama 3.1 405B remotely. Just toggle remote=True . When to Use nnsight Use nnsight when you need to: Run i…
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