Skip to content
Sprint projectAug 25, 2024

Sleeper Agents Detector

Michaël Trazzi and Saahir Vazirani · Team Sleeper Agents

Submitted to AI capabilities and risks demo-jam. Sprint projects are early-stage work by participants, not Apart Research publications.

We present "Sleeper Agent Detector," an interactive web application designed to educate software engineers, Inspired by recent research demonstrating that large language models can exhibit behaviors analogous to deceptive alignment

Reviews

Judging this Sprint?

Review this project

Your public critique appears on this page without your name. Your private critique is not published; only the Apart team reads it. If you agree below, we share your review with grantmaking.ai (opens in new tab) and the Transformative AI Fund so strong projects can be funded.

Not shown on this page.

Shown on this page, without your name.

Only the Apart team reads this, and funders if you agree below.

Share my name publicly on grantmaking.ai *
Share my private critique with funders *

  1. Worthwhile topic. Yet, after demo I was confused, was the model just prompted to write vulnerable code? How did it depend on the year? Surely, I can indeed ask it to write vulnerable code.

  2. Very nice presentation.Overall, I think the demonstration fails to convey why sleeper agents are important or what it would look like to live in a world where we rely on an LLM that can suddenly switch.

Cite this project

@misc{trazzi2024sleeper,
  title = {{Sleeper Agents Detector}},
  author = {Michaël Trazzi and Saahir Vazirani},
  year = {2024},
  month = aug,
  note = {Submitted to AI capabilities and risks demo-jam, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/sleeper-agents-detector}},
  url = {https://apartresearch.com/sprints/projects/sleeper-agents-detector}
}

Build something like this at the next Sprint

AI Collusion Research Sprint · Oct 23 - 25, 2026