most citedSumming Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

2 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2025★ 2 cited

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Tomek Korbak, Mikita Balesni, Elizabeth Barnes +38

AI systems that "think" in human language offer a unique opportunity for AI safety: we can monitor their chains of thought (CoT) for the intent to misbehave. Like all other known A…

cs.LG2024★ 2 cited

Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Bilal Chughtai, Alan Cooney, Neel Nanda

How do transformer-based large language models (LLMs) store and retrieve knowledge? We focus on the most basic form of this task -- factual recall, where the model is tasked with e…