Metadata
| Source Table | entities |
| Source ID | chris-olah |
| Entity Type | person |
| Description | Chris Olah is one of the most influential figures in AI interpretability research. Before co-founding Anthropic in 2021, he worked at Google Brain and OpenAI, where he pioneered techniques for understanding what neural networks learn internally. His blog posts and papers on neural network visualizat… |
| Source URL | colah.github.io/ |
| Wiki ID | E59 |
| Children | 10 total(10 fact) |
| Created | Mar 29, 2026, 10:41 PM |
| Updated | Oct 26, 2026, 1:48 PM |
| Synced | Oct 26, 2026, 1:48 PM |
Record Data
id | chris-olah |
wikiId | E59 |
stableId | Chris Olah(person) |
entityType | person |
title | Chris Olah |
description | Chris Olah is one of the most influential figures in AI interpretability research. Before co-founding Anthropic in 2021, he worked at Google Brain and OpenAI, where he pioneered techniques for understanding what neural networks learn internally. His blog posts and papers on neural network visualizat… |
website | colah.github.io/ |
tags | [ "interpretability", "feature-visualization", "neural-network-circuits", "sparse-autoencoders", "ai-safety", "transparency", "monosemanticity" ] |
clusters | — |
status | — |
lastUpdated | 2025-12 |
customFields | [
{
"label": "Role",
"value": "Co-founder, Head of Interpretability"
},
{
"label": "Known For",
"value": "Mechanistic interpretability, neural network visualization, clarity of research communication"
}
] |
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metadata | {
"aliases": [
"Christopher Olah"
],
"knownFor": [
"Mechanistic interpretability",
"neural network visualization",
"clarity of research communication"
],
"expertRole": "Co-founder, Head of Interpretability",
"affiliation": "anthropic",
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Thing ID: sid_Tz48rTriBg
Source Table: entities
Source ID: chris-olah
Wiki ID: E59
Entity Type: person