2 papers
cs.AI2025
Auditing Games for Sandbagging
Jordan Taylor, Sid Black, Dillon Bowen +10
Future AI systems could conceal their capabilities ('sandbagging') during evaluations, potentially misleading developers and auditors. We stress-tested sandbagging detection techni…
cs.LG2024
Interpreting Attention Layer Outputs with Sparse Autoencoders
Connor Kissane, Robert Krzyzanowski, Joseph Isaac Bloom +2
Decomposing model activations into interpretable components is a key open problem in mechanistic interpretability. Sparse autoencoders (SAEs) are a popular method for decomposing t…