--- title: "Dawn Drain — author profile and papers" description: "Dawn Drain, Machine Intelligence Research Institute: 2 papers on Elamur Research (2022–2023), h-index 19 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/dawn-drain/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dawn-drain/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dawn Drain # Dawn Drain Dawn Drain has 2 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Danny Hernandez](https://md.research.elamur.ai/free/en/authors/danny-hernandez/), [Amanda Askell](https://md.research.elamur.ai/free/en/authors/amanda-askell/), [Anna Chen](https://md.research.elamur.ai/free/en/authors/anna-chen/). 2 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5059021264) · [ORCID](https://orcid.org/0000-0002-6606-4141) · [**h-index 19**](https://openalex.org/authors/A5059021264) · [28 works](https://openalex.org/works?filter=author.id:A5059021264) · [2,591 citations](https://openalex.org/works?filter=author.id:A5059021264&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dawn-drain/#papers) · [🔗 2,410 citations in our library](https://md.research.elamur.ai/free/en/authors/dawn-drain/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Star rank #3751](https://md.research.elamur.ai/free/en/paper-stars/page/38/#star-3751) 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=Dawn+Drain) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dawn+Drain) · [dblp](https://dblp.org/search?q=Dawn+Drain) · [ACL Anthology](https://aclanthology.org/search/?q=Dawn+Drain) ## Affiliations [🤝**Machine Intelligence Research Institute** Berkeley · United States 2022–2023 · 2 papers*current*](https://ror.org/01h4ass90) · [🏢**Microsoft** Redmond · United States 2020–2021 · 8 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Anthropic** San Francisco 2021–2022 · 5 papers](https://md.research.elamur.ai/free/en/companies/anthropic/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Topics [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Interpretability (1)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Bias, fairness & safety (1)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/ganguli-2023-capacity-moral-self-correction-large/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/papers/hernandez-2022-scaling-laws-interpretability-learning-repeated/) ## Papers The most cited first (OpenAlex and our library). 1. **[The Capacity for Moral Self-Correction in Large Language Models](https://md.research.elamur.ai/free/en/papers/ganguli-2023-capacity-moral-self-correction-large/)** *(2023 · 167 citations)* The paper asks whether large dialogue models trained with RLHF can reduce their own biased or discriminatory outputs when simply asked to in plain language. 2. **[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 · 62 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… ## Also in our library 4 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Danny Hernandez](https://md.research.elamur.ai/free/en/authors/danny-hernandez/) ×2 - [Amanda Askell](https://md.research.elamur.ai/free/en/authors/amanda-askell/) - [Anna Chen](https://md.research.elamur.ai/free/en/authors/anna-chen/) - [Anna Goldie](https://md.research.elamur.ai/free/en/authors/anna-goldie/) - [Azalia Mirhoseini](https://md.research.elamur.ai/free/en/authors/azalia-mirhoseini/) - [Ben Mann](https://md.research.elamur.ai/free/en/authors/ben-mann/) - [Catherine Olsson](https://md.research.elamur.ai/free/en/authors/catherine-olsson/) - [Deep Ganguli](https://md.research.elamur.ai/free/en/authors/deep-ganguli/) - [Dustin Li](https://md.research.elamur.ai/free/en/authors/dustin-li/) - [Kamile Lukošiute](https://md.research.elamur.ai/free/en/authors/kamile-luko-vsiute/) - [Nicholas Schiefer](https://md.research.elamur.ai/free/en/authors/nicholas-schiefer/) - [Scott Johnston](https://md.research.elamur.ai/free/en/authors/scott-johnston/) ## Cited by Papers of our library cite their works 2,410 times (of the 140,884 papers whose bibliographies we read); [186 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dawn-drain/cited-by/).