Pyvene Interventions
원문: pyvene-interventions
Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.
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pyvene: Causal Interventions for Neural Networks pyvene is Stanford NLP's library for performing causal interventions on PyTorch models. It provides a declarative, dict based framework for activation patching, causal tracing, and interchange intervention training making intervention experiments reproducible and shareable. GitHub : [stanfordnlp/pyvene](https://github.com/stanfordnlp/pyvene) (840+ stars) Paper : [pyvene: A Library for Understanding and Improving PyTorch Models via Interventions](https://aclanthology.org/2024.naacl demo.16) (NAACL 2024) When to Use pyvene Use pyvene when you need to: Perform causal tracing (ROME style localization) Run activation patching experiments Conduct in…
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