Natural Language Transcoders
Proposes natural language transcoders that verbalize the computation across a stack of transformer layers from its residual delta, training a Qwen2.5-0.5B version with SFT and joint RL and auditing its explanations.
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Proposes natural language transcoders that verbalize the computation across a stack of transformer layers from its residual delta, training a Qwen2.5-0.5B version with SFT and joint RL and auditing its explanations.