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“Current safety training techniques do not fully transfer to the agent setting” by Simon Lermen, Govind Pimpale

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Manage episode 449295318 series 3364758
Kandungan disediakan oleh LessWrong. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh LessWrong atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
TL;DR: I'm presenting three recent papers which all share a similar finding, i.e. the safety training techniques for chat models don’t transfer well from chat models to the agents built from them. In other words, models won’t tell you how to do something harmful, but they are often willing to directly execute harmful actions. However, all papers find that different attack methods like jailbreaks, prompt-engineering, or refusal-vector ablation do transfer.
Here are the three papers:
  1. AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
  2. Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents
  3. Applying Refusal-Vector Ablation to Llama 3.1 70B Agents
What are language model agents
Language model agents are a combination of a language model and a scaffolding software. Regular language models are typically limited to being chat bots, i.e. they receive messages and reply to them. However, scaffolding gives these models access to tools which they can [...]
---
Outline:
(00:55) What are language model agents
(01:36) Overview
(03:31) AgentHarm Benchmark
(05:27) Refusal-Trained LLMs Are Easily Jailbroken as Browser Agents
(06:47) Applying Refusal-Vector Ablation to Llama 3.1 70B Agents
(08:23) Discussion
---
First published:
November 3rd, 2024
Source:
https://www.lesswrong.com/posts/ZoFxTqWRBkyanonyb/current-safety-training-techniques-do-not-fully-transfer-to
---
Narrated by TYPE III AUDIO.
---
Images from the article:
undefinedApple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
  continue reading

368 episod

Artwork
iconKongsi
 
Manage episode 449295318 series 3364758
Kandungan disediakan oleh LessWrong. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh LessWrong atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
TL;DR: I'm presenting three recent papers which all share a similar finding, i.e. the safety training techniques for chat models don’t transfer well from chat models to the agents built from them. In other words, models won’t tell you how to do something harmful, but they are often willing to directly execute harmful actions. However, all papers find that different attack methods like jailbreaks, prompt-engineering, or refusal-vector ablation do transfer.
Here are the three papers:
  1. AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
  2. Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents
  3. Applying Refusal-Vector Ablation to Llama 3.1 70B Agents
What are language model agents
Language model agents are a combination of a language model and a scaffolding software. Regular language models are typically limited to being chat bots, i.e. they receive messages and reply to them. However, scaffolding gives these models access to tools which they can [...]
---
Outline:
(00:55) What are language model agents
(01:36) Overview
(03:31) AgentHarm Benchmark
(05:27) Refusal-Trained LLMs Are Easily Jailbroken as Browser Agents
(06:47) Applying Refusal-Vector Ablation to Llama 3.1 70B Agents
(08:23) Discussion
---
First published:
November 3rd, 2024
Source:
https://www.lesswrong.com/posts/ZoFxTqWRBkyanonyb/current-safety-training-techniques-do-not-fully-transfer-to
---
Narrated by TYPE III AUDIO.
---
Images from the article:
undefinedApple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
  continue reading

368 episod

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