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Emergent attribution in B1ade-1B shows that grounding behavior can arise from RL training without explicit supervision, achieving a citation rate that surpasses its training distribution.
Targeting Super Weights in LLMs can lead to performance collapse, challenging assumptions about parameter importance and trainability.
