<ul><li>NNsight and NDIF are introduced to enable the scientific study of representations and computations learned by large neural networks.</li><li>NNsight is an open-source system that extends PyTorch with deferred remote execution, and NDIF is a scalable inference service that executes NNsight requests.</li><li>The Intervention Graph architecture is developed to decouple experimental design from model runtime, enabling transparent and efficient access to the internals of deep neural networks.</li><li>The framework allows for a range of research methods on huge models and has been benchmarked with previous approaches.</li></ul>

NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

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