In Dyck-language transformers, depth, distance, and top-of-stack signals are decodable from both residual stream and attention, but only attention-based top-of-stack signals are causally used for task performance.
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Dissociating Decodability and Causal Use in Bracket-Sequence Transformers
In Dyck-language transformers, depth, distance, and top-of-stack signals are decodable from both residual stream and attention, but only attention-based top-of-stack signals are causally used for task performance.