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www.lesswrong.com | ||
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codeincomplete.com
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| | | | | Personal Website for Jake Gordon | |
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thesephist.com
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| | | | | [AI summary] The text provides an in-depth overview of research on sparse autoencoders (SAEs) applied to embeddings for automated interpretability. It discusses methods for analyzing and manipulating embeddings, including feature extraction, gradient-based optimization, and visualization tools. The work emphasizes the importance of understanding model representations to improve human-computer interaction with information systems. Key components include: 1) Automated interpretability prompts for generating feature labels, 2) Feature gradients implementation for optimizing embeddings to match desired feature dictionaries, and 3) Visualizations of feature spaces and embedding transformations. The text also includes FAQs addressing the use of embeddings over lan... | |
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transformer-circuits.pub
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| | | | | [AI summary] The text discusses the interpretability of features in a machine learning model, focusing on how features like Arabic, base64, and Hebrew are used in interpretable ways. It explores the extent to which these features explain the model's behavior, noting that features with higher activations are more interpretable. The text also addresses the limitations of current methods, such as the computational cost of simulating features and the potential for dataset correlations to influence feature interpretations. Finally, it concludes that the model's learning process creates a richer structure in its activations than the dataset alone, suggesting that feature-based interpretations provide meaningful insights into the model's behavior. | |
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digitalsuccessnetwork.com
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