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frankaging authored Jan 11, 2024
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<a href="https://pypi.org/project/pyvene/"><img src="https://img.shields.io/pypi/v/pyvene?color=red"></img></a>

# **pyvene: Use _Interventions_ to Learn Model's _Causal Mechanisms_**
# **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.

**Getting Started:** [<img align="center" src="https://colab.research.google.com/assets/colab-badge.svg" />](https://colab.research.google.com/github/frankaging/pyvene/blob/main/tutorials/basic_tutorials/Basic_Intervention.ipynb) [**_pyvene_ 101**]
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