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Small transformers track Bayesian evidence for latent common causes via a context-invariant mechanism

Mohammadpour, Amir et al.
arXiv (All) · Papers
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machine-learning
We present an in-depth investigation of how a form of Bayesian reasoning about common causes can emerge as a cross-contextual generalization in small, tractable transformers. Incrementing on recent work, our set-up (i) disentangles causal mechanisms in the model from the causal structure of the true
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