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title: OpenSAE
emoji: 🧱
colorFrom: green
colorTo: gray
sdk: static
app_file: index.html
short_description: Open research for testable explanations of neural networks.
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# From features to testable explanations.
**Open research tools for understanding how neural networks represent information and how their features shape behavior.**
[**Explore SAEBase Research Lab ↗**](https://huggingface.co/spaces/OpenSAE/SAEBase) · [**See our research ↗**](https://huggingface.co/spaces/OpenSAE/README)
<a href="https://huggingface.co/spaces/OpenSAE/README"><img src="https://huggingface.co/spaces/OpenSAE/README/resolve/main/assets/opensae_banner.png" alt="OpenSAE" width="240"></a>
## SAEBase
**Capture. Intervene. Evaluate.**
One reusable workflow for studying SAE features and the effects of interventions.
**[Open the interactive lab ↗](https://huggingface.co/spaces/OpenSAE/SAEBase)** · [Source code](https://github.com/OpenSAE/SAEBase) · [Evaluation data](https://huggingface.co/datasets/OpenSAE/SAEBase-Evaluation)
## Research
**[SAR ↗](https://github.com/OpenSAE/SAE-Behavioral-Compositionality)** — How do features work together to shape behavior?
**[RSS ↗](https://github.com/OpenSAE/Redistribution-Sensitivity-Score)** — What changes inside a model when the prompt changes?
**[Input Localization ↗](https://github.com/OpenSAE/SAE-Input-Localization)** — Which inputs are responsible for feature activations?
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[**GitHub organization ↗**](https://github.com/OpenSAE) · [Contribute](https://github.com/OpenSAE/SAEBase/blob/main/CONTRIBUTING.md) · [Contact](mailto:hma232@wisc.edu)
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