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Exploring Multigram Circuits and Layer Coordination in Neural Models
This chapter explores the intricacies of a model's processing of n-grams and skip n-grams across its layers. It examines the impact of the learning coefficient and the coordination between heads, highlighting how predictive capabilities evolve as the model scales.