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flat autoencoders break. Curved space doesn't. High-Performance Hyperbolic Sparse Autoencoders for Mechanistic Interpretability.
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Autodistill
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A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.
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40M embeddings to find who knows what on HN
blog.wilsonl.in