attention-120m-ce-6k
120M self-attention transformer, plain cross-entropy, Pile, 6,000 updates (3.146B tokens), seed 1111. The attention reference for the M=1 ahead-router ablation ladder, at the ladder's token budget.
| Pile PPL (1,000 validation sequences) | 11.79 |
| Rare-AR PPL | 3.56 |
| Natural FDA (all 1,102 examples) | 26.9% |
Files: final.ckpt (weights, optimizer state stripped, global_step 6000),
resolved-config.yaml (the exact training config), metadata.json (run identity).
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In recurrent-recall-circuits,
this checkpoint is registered as attention_120m_ce_6k in configs/models/ladder_m1.yaml
(architecture configs/experiment/lm/120m/attention/ce_6k.yaml):
python -m recurrent_recall_circuits.cli.evaluate --suite baseline \
--registry configs/models/ladder_m1.yaml --models attention_120m_ce_6k
The checkpoint is downloaded from this repo on first use.
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