A small set of sparse autoencoder features in LLMs drives shifts between generous and selfish allocations in dictator games, with causal patching and steering confirming their role and generalization to other social games.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
LLMs prioritize surface heuristics such as distance cues over implicit constraints in reasoning tasks, with the new HOB benchmark showing no model exceeds 75% strict accuracy and hints recovering performance.
citing papers explorer
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Understanding the Mechanism of Altruism in Large Language Models
A small set of sparse autoencoder features in LLMs drives shifts between generous and selfish allocations in dictator games, with causal patching and steering confirming their role and generalization to other social games.
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The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning
LLMs prioritize surface heuristics such as distance cues over implicit constraints in reasoning tasks, with the new HOB benchmark showing no model exceeds 75% strict accuracy and hints recovering performance.