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frankaging authored Jan 18, 2024
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<a href="https://nlp.stanford.edu/~wuzhengx/"><strong>Library Paper and Doc Are Forthcoming »</strong></a>
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<a href="https://pypi.org/project/pyvene/"><img src="https://img.shields.io/pypi/v/pyvene?color=red"></img></a> *This is a beta-release.*
*This is a beta release (invited public testing).*

<a href="https://pypi.org/project/pyvene/"><img src="https://img.shields.io/pepy/dt/pyvene?color=green"></img></a>
<a href="https://pypi.org/project/pyvene/"><img src="https://img.shields.io/pypi/v/pyvene?color=red"></img></a>
<a href="https://pypi.org/project/pyvene/"><img src="https://img.shields.io/pypi/l/pyvene?color=blue"></img></a>

# **Use _Activation Intervention_ to Interpret _Causal Mechanism_ of Model**
**pyvene** supports customizable interventions on different neural architectures (e.g., RNN or Transformers). It supports complex intervention schemas (e.g., parallel or serialized interventions) and a wide range of intervention modes (e.g., static or trained interventions) at scale to gain interpretability insights.
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