Explored ways to detect and mitigate deceptive behavior in large language models using Representation Engineering (RepE) as part of the Apart Lab Fellowship.
This work analyzed activation-space directions associated with deceptive completions, examining how RepE-based interventions could reduce deceptive outputs without degrading general model capability.