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Aengus Lynch

4 accepted papers

2025

How Do Large Language Monkeys Get Their Power (Laws)?

ICML 2025oral

Recent research across mathematical problem solving, proof assistant programming and multimodal jailbreaking documents a striking finding: when (multimodal) language model tackle a suite of tasks with multiple attempts per task -- succeeding if any attempt is correct -- then the negative log of the…

Cited by 0SourcePDFScholar
2024

Analysing the Generalisation and Reliability of Steering Vectors

NeurIPS 2024poster

Steering vectors (SVs) are a new approach to efficiently adjust language model behaviour at inference time by intervening on intermediate model activations. They have shown promise in terms of improving both capabilities and model alignment. However, the reliability and generalisation properties of…

Cited by 14SourcePDFScholar
2023

Towards Automated Circuit Discovery for Mechanistic Interpretability

NeurIPS 2023spotlight

Through considerable effort and intuition, several recent works have reverse-engineered nontrivial behaviors of transformer models. This paper systematizes the mechanistic interpretability process they followed. First, researchers choose a metric and dataset that elicit the desired model behavior. T…