record state
frontier-ownedReview status
This finding is part of accepted frontier state. Review events, reviewable changes, and proof state explain how it can change.
unreviewed
frontiers / frontier
Finding bundle
back to staterecord state
frontier-ownedThis finding is part of accepted frontier state. Review events, reviewable changes, and proof state explain how it can change.
finding statement
finding typeNo entity list is declared.
evidence
source-boundtheoretical · manual state transition
proof impact
packet context1 reviewable changes and 0 evaluation records are attached to this finding id.
Evidence and conditions
method
manual state transition
evidence type
theoretical
conditions
Provenance
source title
Mechanistic Interpretability Review (Anthropic et al., 2024); OpenAI SAE latent attribution research
authors
reviewer:will-blair
Mechanistic interpretability requires extensive computational resources and skilled human researchers, limiting scalability; automated oversight via sparse autoencoders (SAEs) and circuit tracing shows promise but remains early-stage.
vs_4ead183e42c35611 · manual_curation
outgoing
vf_1897f0ee215aca32Interpretability resource bottleneck prevents scaling of the detection method UN identifies as necessary
events
vev_91bc4a6f3bb653dffinding.assertedManual finding added to frontier state
reviewer:will-blair · 2026-05-29
reviewable changes
vpr_5f2452c5e1caabcefinding.addManual finding added to frontier state
applied · reviewer:will-blair · 2026-05-29
evaluations
No evaluation record targets this finding id.