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
The source text confirms all key elements of the claim: (1) CAIS affiliation is confirmed—multiple authors list 'Center for AI Safety' as their affiliation; (2) The publication title matches exactly; (3) The methods for 'reading and controlling' LLM representations are explicitly described in Sections 3.1 and 3.2; (4) Safety applications are confirmed in the abstract and throughout; (5) The arxiv ID 2310.01405 matches the source URL, confirming the October 2023 date ('2023-10'). All author names listed in the claim appear in the source document.
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 checkNoteThe source text confirms all key elements of the claim: (1) CAIS affiliation is confirmed—multiple authors list 'Center for AI Safety' as their affiliation; (2) The publication title matches exactly; (3) The methods for 'reading and controlling' LLM representations are explicitly described in Sections 3.1 and 3.2; (4) Safety applications are confirmed in the abstract and throughout; (5) The arxiv ID 2310.01405 matches the source URL, confirming the October 2023 date ('2023-10'). All author names listed in the claim appear in the source document.