Code for the ETH MSc Thesis: Sparse Autoencoders vs. Activation Difference for Language Model Steering
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Mar 26, 2025 - Shell
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gemma-9b-it
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Main task: The Agent utilizes the Wolfram Alpha API to obtain answers, then generates explanations based on the questions and answers, storing both the explanations in ChromaDB and saving associated images for faster future retrieval
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Updated
Jan 7, 2025 - Jupyter Notebook
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