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Who cites «The Hydra Effect: Emergent Self-repair in Language Model Computations»

46 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← back to «The Hydra Effect: Emergent Self-repair in Language Model Computations»

  1. Representation Engineering: A Top-Down Approach to AI TransparencyarXiv:2310.01405Andy Zou, Long Phan, Sarah Chen, et al.2023 · 397 citations
  2. AI Alignment: A Comprehensive SurveyarXiv:2310.19852Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.2023 · 173 citations
  3. Emergent Linear Representations in World Models of Self-Supervised Sequence ModelsarXiv:2309.00941Neel Nanda, Andrew Lee, Martin Wattenberg2023 · 116 citations
  4. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
  5. Towards Best Practices of Activation Patching in Language Models: Metrics and MethodsarXiv:2309.16042Fred Zhang, Neel Nanda2023 · 97 citations
  6. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
  7. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
  8. Linear Representations of Sentiment in Large Language ModelsarXiv:2310.15154Curt Tigges, Oskar John Hollinsworth, Atticus Geiger, et al.2023 · 64 citations
  9. Successor Heads: Recurring, Interpretable Attention Heads In The WildarXiv:2312.09230Rhys Gould, Euan Ong, George Ogden, et al.2023 · 39 citations
  10. AtP*: An efficient and scalable method for localizing LLM behaviour to componentsarXiv:2403.00745Janos Kramar, Tom Lieberum, Rohin Shah, et al.2024 · 32 citations
  11. Copy Suppression: Comprehensively Understanding an Attention HeadarXiv:2310.04625Callum McDougall, Arthur Conmy, Cody Rushing, et al.2023 · 25 citations

30 more papers of our library cite it; they have no page here yet.

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