LessWrong (30+ Karma)

“Me, Myself, and AI: the Situational Awareness Dataset (SAD) for LLMs” by L Rudolf L, bilalchughtai, jan betley, kaivu, Jérémy Scheurer, Mikita Balesni, AlexMeinke, Owain_Evans


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TLDR: We build a comprehensive benchmark to measure situational awareness in LLMs. It consists of 16 tasks, which we group into 7 categories and 3 aspects of situational awareness (self-knowledge, situational inferences, and taking actions).

We test 19 LLMs and find that all perform above chance, including the pretrained GPT-4-base (which was not subject to RLHF finetuning). However, the benchmark is still far from saturated, with the top-scoring model (Claude-3.5-Sonnet) scoring 54%, compared to a random chance of 27.4% and an estimated upper baseline of 90.7%.

This post has excerpts from our paper, as well as some results on new models that are not in the paper.

Links: Twitter thread, Website (latest results + code), Paper

The structure of our benchmark. We define situational awareness and break it down into three aspects.  
We test these aspects across 7 categories of task.  
Note: Some questions have been slightly simplified for [...]

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Outline:

(01:27) Abstract

(03:28) Introduction

(05:17) Motivation

(06:38) Benchmark

(08:45) Examples and prompts

(10:44) Results

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First published:

July 8th, 2024

Source:

https://www.lesswrong.com/posts/YsCRXZYr5DcJ84XHq/me-myself-and-ai-the-situational-awareness-dataset-sad-for

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Narrated by TYPE III AUDIO.

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Images from the article:

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