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Center for AI Safety (CAIS) — publication: Representation Engineering: A Top-Down Approach to AI Transparency — proposes methods to read and control LLM internal representations for safety

Verdictconfirmed98%
1 check · 7/27/2026

1 → confirmed

Our claim

entire record
Subject
Center for AI Safety (CAIS)
Value
Representation Engineering: A Top-Down Approach to AI Transparency — proposes methods to read and control LLM internal representations for safety
As Of
October 2023
Notes
By Zou, Phan, Chen, Campbell, Guo, Ren, Pan, Yin, Mazeika, Dombrowski, Goel, Li, Byun, Wang, Mallen, Basart, Koyejo, Song, Li, Hendrycks

Source evidence

1 src · 1 check
confirmed98%primaryHaiku 4.5 · 7/27/2026

NoteThe source directly confirms all key elements of the claim: (1) CAIS is listed as an affiliation for multiple authors (Andy Zou, Long Phan, Sarah Chen, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Zifan Wang, Steven Basart, Dan Hendrycks); (2) the publication title matches exactly; (3) the abstract and introduction explicitly describe methods to 'read and control' LLM internal representations; (4) safety applications are emphasized throughout (honesty, harmlessness, power-seeking, truthfulness, etc.); (5) the arXiv ID 2310.01405 confirms October 2023 publication date. All author names in the claim match the source. The claim is accurate and well-supported by the source text.

Case № f_4j56kTwGW5Filed 7/27/2026Confidence 98%
Source Check: Fact f_4j56kTwGW5 | Longterm Wiki