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Sparse Autoencoders (SAEs)

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Applied to Scaling Sparse Feature Circuit Finding to Gemma 9B by Diego Caples 3d ago

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Applied to Broken Latents: Studying SAEs and Feature Co-occurrence in Toy Models by chanind 13d ago

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Applied to Are Sparse Autoencoders a good idea for AI control? by Gerard Boxo 17d ago

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Applied to Learning Multi-Level Features with Matryoshka SAEs by Bart Bussmann 25d ago

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Applied to Compositionality and Ambiguity: Latent Co-occurrence and Interpretable Subspaces by Matthew A. Clarke 25d ago

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Applied to Matryoshka Sparse Autoencoders by Noa Nabeshima 1mo ago

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Applied to Measuring Nonlinear Feature Interactions in Sparse Crosscoders [Project Proposal] by Jason Gross 1mo ago

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Applied to SAEBench: A Comprehensive Benchmark for Sparse Autoencoders by Can 1mo ago

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Applied to Are SAE features from the Base Model still meaningful to LLaVA? by Shan23Chen 1mo ago

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Applied to Are SAE features from the Base Model still meaningful to LLaVA? by Shan23Chen 1mo ago

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Applied to Mechanistic Interpretability of Llama 3.2 with Sparse Autoencoders by PaulPauls 2mo ago

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Applied to Analyzing how SAE features evolve across a forward pass by bensenberner 2mo ago

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Applied to SAEs are highly dataset dependent: a case study on the refusal direction by Connor Kissane 2mo ago

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Applied to Evolutionary prompt optimization for SAE feature visualization by neverix 2mo ago

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Applied to SAE Probing: What is it good for? Absolutely something! by Subhash Kantamneni 2mo ago

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Applied to A suite of Vision Sparse Autoencoders by Louka Ewington-Pitsos 3mo ago

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Applied to SAEs you can See: Applying Sparse Autoencoders to Clustering by Robert_AIZI 3mo ago

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Applied to On the Practical Applications of Interpretability by Ruby 3mo ago

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Applied to It's important to know when to stop: Mechanistic Exploration of Gemma 2 List Generation by Gerard Boxo 3mo ago

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Applied to Standard SAEs Might Be Incoherent: A Choosing Problem & A “Concise” Solution by Kola Ayonrinde 3mo ago