Raphaël Millière @raphaelmilliere.com · Aug 11 1 / 3
But models also showed different sensitivities than humans. For example, top LLMs were more affected by permuting the order of examples and were more distracted by irrelevant semantic information, hinting at different underlying mechanisms. 7/9
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This opens intesting avenues for future work. By using causal intervention methods with open-weights models, we can start to reverse-engineer these emergent analogical abilities and compare the discovered mecanisms to computational models of analogical reasoning. 8/9