Chris Olah works on reverse engineering artificial neural networks into human-understandable algorithms and is one of the co-founders of Anthropic. Olah previously led interpretability research at OpenAI, worked at Google Brain, and co-founded Distill, a scientific journal focused on clear communication. At Anthropic, Olah is the corresponding author of "A Mathematical Framework for Transformer Circuits" (2021), last-listed author of "Toy Models of Superposition" (2022), and a co-author of "On the Biology of a Large Language Model" (2025), which studies the internal mechanisms of Claude 3.5 Haiku with circuit tracing.1234
At a glance
- Current role
- Co-founder
- Company
- Anthropic
- Sector
- Company
- Work listed
- 3
- Sources cited
- 5
- Profile reviewed
Career
Chris Olah's academic CV lists research internships at Google Brain in 2014, hosted by Jeff Dean, and in 2015, hosted by Greg Corrado, working on techniques for visualizing neural networks. Olah then joined Google Brain as a research associate in 2015 and became a research scientist in 2016.5
In October 2018 Olah joined OpenAI as a member of technical staff and led a new team, called Clarity, working on neural network interpretability. Olah is one of the co-founders of Anthropic, where Olah continues to work on reverse engineering neural networks.51
Distill and explanatory writing
Olah co-founded Distill, a scientific journal focused on clear communication of machine learning research. Olah's Distill articles include "Attention and Augmented Recurrent Neural Networks" (2016) with Shan Carter, "Research Debt" (2017), "Feature Visualization" (2017), "The Building Blocks of Interpretability" (2018) and "Activation Atlases" (2019).15
Interpretability research
At Anthropic, Olah's work on the Transformer Circuits Thread includes "A Mathematical Framework for Transformer Circuits" (2021), which reverse engineers small attention-only transformers, and "Toy Models of Superposition" (2022), which studies how models store additional sparse features in superposition, a source of polysemantic neurons.23
Olah is also a co-author of "On the Biology of a Large Language Model" (2025), which uses attribution graphs to trace internal mechanisms in Claude 3.5 Haiku. Earlier, Olah was a co-author of "Concrete Problems in AI Safety" (2016) and of the TensorFlow systems paper (2015).45
Work and contributions
A Mathematical Framework for Transformer Circuits Published research
Corresponding author of the 2021 Anthropic article on the Transformer Circuits Thread, which develops a framework for reverse engineering small attention-only transformers.2
Toy Models of Superposition Published research
Last-listed author of the 2022 paper, which gives a toy model in which polysemantic neurons arise from models storing additional sparse features in superposition.3
On the Biology of a Large Language Model Published research
Co-author of the 2025 Anthropic study; its contributions statement credits Olah with work on the replacement model and attribution-graph computation, intervention analyses, and crosscoder ideas.4
Timeline
- Began a research internship at Google Brain hosted by Jeff Dean, creating the meta-SNE visualization algorithm.5
- Joined Google Brain as a research associate, becoming a research scientist in October 2016.5
- Published "Attention and Augmented Recurrent Neural Networks" with Shan Carter on Distill.5
- Published "Feature Visualization" on Distill with Alexander Mordvintsev and Ludwig Schubert.5
- Joined OpenAI as a member of technical staff and led the Clarity interpretability team.5
- Published "A Mathematical Framework for Transformer Circuits" as corresponding author.2
- Published "Toy Models of Superposition" as last-listed author.3
- Co-authored "On the Biology of a Large Language Model" on the Transformer Circuits Thread.4
Other documented roles
Roles the sources document that are not confirmed as current.
- Led interpretability research, OpenAI1
- Worked at Google Brain, Google Brain1
Where they work
- Anthropic 34 people in the wiki
Related people
- Arthur ConmyAlso at Anthropic
- Neel NandaAlso at Anthropic
- Samuel MarksAlso at Anthropic
- Evan HubingerAlso at Anthropic
- Kai FronsdalAlso at Anthropic
- Jacob SteinhardtSafety and alignment · Interpretability
- Kush R. VarshneySafety and alignment · Interpretability
- Kenneth LiInterpretability · Safety and alignment
- Aleksandra MojsilovićSafety and alignment · Interpretability
- Duen Horng "Polo" ChauInterpretability · Safety and alignment
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References
5 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026