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Rohin Shah

Rohin Shah has 2 papers in our library, in 2023–2024, most of them on Interpretability; often with Janos Kramar, Neel Nanda, Tom Lieberum.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 9 · 45 works · 329 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 238 citations in our library · 3 more in our library without a page yet · ⭐ Paper Star rank #4181

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Google DeepMindLondon · United Kingdom2023–2026 · 3 paperscurrent🎓University of California, BerkeleyBerkeley · United States2014–2022 · 14 papers

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

 Interpretability (1)

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla (2023 · 51 citations)
    Circuit analysis has mostly been demonstrated on small networks, such as two-layer attention-only transformers or the 117M GPT-2.
  2. Improving Dictionary Learning with Gated Sparse Autoencoders (2024 · 39 citations)
    Sparse autoencoders (SAEs) are used to break language model activations into sparse combinations of interpretable directions.

Also in our library

3 more works of theirs are in our library without a page here yet; they will appear as we publish them.

 Co-authors here

5 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 238 times (of the 140,884 papers whose bibliographies we read); 9 citing papers with a page here →.

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