Studies the internal features and circuits of neural networks, connecting visual explanations to experiments on why a particular model produces a particular response.
Why read Chris Olah?
Start with Olah’s coauthored Zoom In introduction to see what researchers mean by a feature and a circuit. The examples trace how simpler visual patterns combine into structures that a vision network recognizes. It supplies a concrete starting picture before the terminology of language-model interpretability.
Continue with the coauthored On the Biology of a Large Language Model. The case studies use attribution graphs and interventions to investigate Claude 3.5 Haiku, including refusals and invented citations. Read the limits alongside the examples: revealing part of a mechanism in selected prompts does not establish a complete explanation or a safety guarantee.
Start with the original
Selected work
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Research explainer ·
Zoom In: An Introduction to Circuits
Coauthored visual introduction. Begin with curve detectors and their connections to understand features and circuits; the examples concern a vision model, while broader claims are explicitly speculative.
Cite this selection
XFollowList, “Zoom In: An Introduction to Circuits” reading notes in the Chris Olah profile. https://xfollowlist.com/people/chris-olah#work-346b1574c0c3
The linked work is the original source; this permalink identifies XFollowList’s reason to read it. Original work published .
Profile-source checking date and references · Dated reading map
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Research paper ·
On the Biology of a Large Language Model
Coauthored study of Claude 3.5 Haiku. Follow an introductory attribution graph, then the hallucination or refusal case study and its interventions. The authors explain which mechanisms the method misses.
Cite this selection
XFollowList, “On the Biology of a Large Language Model” reading notes in the Chris Olah profile. https://xfollowlist.com/people/chris-olah#work-fbc2b9d822be
The linked work is the original source; this permalink identifies XFollowList’s reason to read it. Original work published .
Profile-source checking date and references · Dated reading map
Projects & roles
Transformer Circuits
A research publication where his coauthored studies investigate the internal computations of neural networks.
Circuits
The collaborative Circuits thread, with visual explanations and detailed investigations of neural-network features.
Community rating
Sources & further reading
Profile sources checked . This describes checking these references, separately from the publication dates of selected works.
- His own biography confirms Anthropic co-founder and interpretability work, distinguishes earlier OpenAI and Google Brain roles, and links @ch402.
- Current metadata names Chris Olah and describes neural-network reverse engineering at Anthropic.
- The author list and contribution statement credit Olah alongside the team, including methodology, introduction and research guidance.
Cite this profile’s source check
XFollowList, Chris Olah profile sources. Sources checked 2026-10-11. https://xfollowlist.com/people/chris-olah#sources-checked