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Tag: Sparse Autoencoders

  • Hacker News: Show HN: Llama 3.3 70B Sparse Autoencoders with API access

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    Source URL: https://www.goodfire.ai/papers/mapping-latent-spaces-llama/ Source: Hacker News Title: Show HN: Llama 3.3 70B Sparse Autoencoders with API access Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses innovative advancements made with the Llama 3.3 70B model, particularly the development and release of sparse autoencoders (SAEs) for interpretability and feature steering. These tools enhance…

  • Hacker News: Multimodal Interpretability in 2024

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    Source URL: https://www.soniajoseph.ai/multimodal-interpretability-in-2024/ Source: Hacker News Title: Multimodal Interpretability in 2024 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in multimodal interpretability within AI, highlighting a shift towards mechanistic and causal interpretability methods over traditional techniques. It emphasizes the integration of interpretability across language and vision models and outlines various…

  • Hacker News: An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability

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    Source URL: https://adamkarvonen.github.io/machine_learning/2024/06/11/sae-intuitions.html Source: Hacker News Title: An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability Feedly Summary: Comments AI Summary and Description: Yes **Summary**: The text discusses Sparse Autoencoders (SAEs) and their significance in interpreting machine learning models, particularly large language models (LLMs). It explains how SAEs can provide insights into the functioning of…

  • Hacker News: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders

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    Source URL: https://github.com/PaulPauls/llama3_interpretability_sae Source: Hacker News Title: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a research project focused on the interpretability of the Llama 3 language model using Sparse Autoencoders (SAEs). This project aims to extract more clearly interpretable features from…