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This study stress-tests the generalizability of rhyme planning in language models on open models and cross-layer transcoders, finding that the effective planning position is emission-adjacent, not newline-resident as previously reported.
Researchers introduce PIE, a CLT-native framework for efficient circuit discovery via feature attribution-based pruning, achieving ~40× compression in feature selection while maintaining behavioral fidelity on IOI and Doc-String tasks.