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@@ -22,12 +22,22 @@ By open-sourcing SAEs for leading open models, especially large-scale
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  models like Llama 3.3 70B, we aim to accelerate progress in interpretability research.
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  Our initial work with these SAEs has revealed promising applications in model steering,
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- enhancing jailbreaking safeguards, and interpretable classification methods (docs.goodfire.ai).
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  We look forward to seeing how the research community builds upon these
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  foundations and uncovers new applications.
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  #### Feature labels
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  ## How to use
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  ```python
 
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  models like Llama 3.3 70B, we aim to accelerate progress in interpretability research.
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  Our initial work with these SAEs has revealed promising applications in model steering,
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+ enhancing jailbreaking safeguards, and interpretable classification methods.
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  We look forward to seeing how the research community builds upon these
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  foundations and uncovers new applications.
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  #### Feature labels
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+ To explore the feature labels check out the [Goodfire Ember SDK](https://www.goodfire.ai/blog/announcing-goodfire-ember/).
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+ The SDK provides an intuitive interface for interacting with these
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+ features, allowing you to investigate how Llama processes information
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+ and even steer its behavior. Get started with feature
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+ exploration at [docs.goodfire.ai](https://docs.goodfire.ai) or install directly via:
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+
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+ ```
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+ pip install goodfire
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+ ```
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+
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  ## How to use
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  ```python