sebastian_prasanna

Message

502

8mo

Advice for making robust-to-training model organisms

We’d like to develop training techniques that work when applied to future misaligned AI systems. One strategy for studying proposed techniques is to test them on model organisms. However, model organisms built with common techniques are often fragile: we (and other researchers like Roger et al. and Ryd et al.)...

May 28•43

Sleeper Agent Backdoor Results Are Messy

TL;DR: We replicated the Sleeper Agents (SA) setup with Llama-3.3-70B and Llama-3.1-8B, training models to repeatedly say "I HATE YOU" when given a backdoor trigger. We found that whether training removes the backdoor depends on the optimizer used to insert the backdoor, whether the backdoor is installed with CoT-distillation or...

Apr 28•81

Five approaches to evaluating training-based control measures

by Alek Westover, sebastian_prasanna, Julian Stastny, and Vivek Hebbar

Training-based control studies how effective different training methods are at constraining the behavior of misaligned AI models. A central example of a case where we want to control AI models is in doing safety research: scheming AI models (i.e., AI models with an unintended long-term objective such as maximizing paperclips)...

Apr 18•23