In deep Transformers using bidirectional prefix masks, implicit reasoning on Horn clauses matches explicit CoT performance across topologies and widths, but CoT is still required for depth extrapolation.
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The Scaling Properties of Implicit Deductive Reasoning in Transformers
In deep Transformers using bidirectional prefix masks, implicit reasoning on Horn clauses matches explicit CoT performance across topologies and widths, but CoT is still required for depth extrapolation.