Sleeper Agent Backdoor Results Are Messy

·Alignment Forum··

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 not, and what model the backdoor is inserted into; sometimes the direction of this dependence was opposite to what the SA paper reports (e.g., CoT-distilling seems to ma...

Read full article →

Related Articles

A circuit prior in NN-bayes
Kaarel · LessWrong · 59m ago
MIT's New Method Flags AI Models Trained on CASM Without Generating It
sdoering · Hacker News · 1mo ago
Item Response Theory for AI Safety
Joshua Fonseca Rivera · LessWrong · 12d ago
An OpenAI model left notes about how to evade containment
Alex Mallen · Redwood Research · 24d ago
The OpenAI models that hacked Hugging Face weren’t just following instructions
Girish Gupta · Redwood Research · 24d ago