--- title: "Nelson Elhage — author profile and papers — Elamur Research" description: "Nelson Elhage, Machine Intelligence Research Institute: 3 papers on Elamur Research (2022–2023), h-index 15 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/nelson-elhage/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nelson-elhage/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nelson Elhage # Nelson Elhage Nelson Elhage has 3 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Ben Mann](https://md.research.elamur.ai/free/en/authors/ben-mann/), [Dawn Drain](https://md.research.elamur.ai/free/en/authors/dawn-drain/), [Nova DasSarma](https://md.research.elamur.ai/free/en/authors/nova-dassarma/). 3 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5020683620) · [**h-index 15**](https://openalex.org/authors/A5020683620) · [18 works](https://openalex.org/works?filter=author.id:A5020683620) · [1,717 citations](https://openalex.org/works?filter=author.id:A5020683620&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/nelson-elhage/#papers) · [🔗 Cited 3,930 times in our library](https://md.research.elamur.ai/free/en/authors/nelson-elhage/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3544](https://md.research.elamur.ai/free/en/paper-stars/page/36/#star-3544) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Nelson+Elhage) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nelson+Elhage) · [dblp](https://dblp.org/search?q=Nelson+Elhage) · [ACL Anthology](https://aclanthology.org/search/?q=Nelson+Elhage) ## Affiliations [🤝**Machine Intelligence Research Institute** Berkeley · United States 2022–2023 · 2 papers*current*](https://ror.org/01h4ass90) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2010–2012 · 2 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) 💡 Concepts 2 Key ideas and methods explained on our concept pages.[Few-shot learning · 1 work](https://md.research.elamur.ai/free/en/concepts/few-shot-learning/) · [Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/nelson-elhage/year/2023/) · [**2022** 2 papers](https://md.research.elamur.ai/free/en/authors/nelson-elhage/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[In-context Learning and Induction Heads](https://md.research.elamur.ai/free/en/papers/olsson-2022-context-learning-induction-heads/)** *(2022 · 475 citations)* The authors from Anthropic search for the internal mechanism of transformer language models that is responsible for in-context learning. 2. **[Studying Large Language Model Generalization with Influence Functions](https://md.research.elamur.ai/free/en/papers/grosse-2023-studying-large-language-model-generalization/)** *(2023 · 105 citations)* Knowing which training examples drive a given behavior in a large language model could help researchers anticipate and reduce its risks. 3. **[Scaling Laws and Interpretability of Learning from Repeated Data](https://md.research.elamur.ai/free/en/papers/hernandez-2022-scaling-laws-interpretability-learning-repeated/)** *(2022 · 91 citations)* Large language models often see the same data several times. Sometimes this is done deliberately, to upweight high-quality sources, and sometimes it results from incomplete deduplication. The authors from Anthropic investigate why even a small fraction of repeated data harms models so severely. They train a family of… ## All works 7 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback ↗](https://arxiv.org/abs/2204.05862) arXiv:2204.05862 · no summary yet**Yuntao Bai et al.*2022 · 1,778 citations* 2. **[Language Models (Mostly) Know What They Know ↗](https://arxiv.org/abs/2207.05221) arXiv:2207.05221 · no summary yet**Saurav Kadavath et al.*2022 · 827 citations* 3. [**In-context Learning and Induction Heads arXiv:2209.11895**Catherine Olsson, Nelson Elhage, Neel Nanda, et al.*2022 · 475 citations*](https://md.research.elamur.ai/free/en/papers/olsson-2022-context-learning-induction-heads/) 4. **[A General Language Assistant as a Laboratory for Alignment ↗](https://arxiv.org/abs/2112.00861) arXiv:2112.00861 · no summary yet**Amanda Askell et al.*2021 · 432 citations* 5. [**Studying Large Language Model Generalization with Influence Functions arXiv:2308.03296**Roger Grosse, Juhan Bae, Cem Anil, et al.*2023 · 105 citations*](https://md.research.elamur.ai/free/en/papers/grosse-2023-studying-large-language-model-generalization/) 6. [**Scaling Laws and Interpretability of Learning from Repeated Data arXiv:2205.10487**Danny Hernandez, Tom Brown, Tom Conerly, et al.*2022 · 91 citations*](https://md.research.elamur.ai/free/en/papers/hernandez-2022-scaling-laws-interpretability-learning-repeated/) 7. **[Specific versus General Principles for Constitutional AI ↗](https://arxiv.org/abs/2310.13798) arXiv (Cornell University) · no summary yet**Sandipan Kundu et al.*2023 · 28 citations* ## Co-authors here 12 of 23 co-authors with a page, the most papers together first. - [Ben Mann](https://md.research.elamur.ai/free/en/authors/ben-mann/) ×2 - [Dawn Drain](https://md.research.elamur.ai/free/en/authors/dawn-drain/) ×2 - [Nova DasSarma](https://md.research.elamur.ai/free/en/authors/nova-dassarma/) ×2 - [Tom Conerly](https://md.research.elamur.ai/free/en/authors/tom-conerly/) ×2 - [Tom Henighan](https://md.research.elamur.ai/free/en/authors/tom-henighan/) ×2 - [Alex Tamkin](https://md.research.elamur.ai/free/en/authors/alex-tamkin/) - [Amanda Askell](https://md.research.elamur.ai/free/en/authors/amanda-askell/) - [Anna Chen](https://md.research.elamur.ai/free/en/authors/anna-chen/) - [Benoit Steiner](https://md.research.elamur.ai/free/en/authors/benoit-steiner/) - [Catherine Olsson](https://md.research.elamur.ai/free/en/authors/catherine-olsson/) - [Cem Anil](https://md.research.elamur.ai/free/en/authors/cem-anil/) - [Danny Hernandez](https://md.research.elamur.ai/free/en/authors/danny-hernandez/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [ACM Conference on Fairness, Accountability, and Transparency (FAccT)](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/) ## Cited by Papers of our library cite their works 3,930 times (of the 149,439 papers whose bibliographies we read); [868 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nelson-elhage/cited-by/). Updated 2 November 2026