Learning a Generative Meta-Model of LLM Activations
Paper • 2602.06964 • Published • 5
Residual-stream activation store harvested from meta-llama/Llama-3.2-1B at layer 7, used as the training store for the GLP (Generative Latent Prior, arXiv:2602.06964) training-pipeline validation experiment (Silico thread experiment #46 / exp_01kxqnxk5yftyrf9cyt0a5gga8). Kept private out of Llama-license caution (derived from Llama weights' internal states).
chunks/chunk_XXXXXX/activations.safetensors — 1,099 chunks, ~500 MB each,
bf16 [items, 2048] tensors (goodfire-core ActivationDataset v0.3.4 chunk
format, mode=token).metadata.json — authoritative chunk inventory (134,019,975 activations total).index.sqlite — goodfire-core ActivationIndex (item → provenance mapping).rep_statistics.pt — per-coordinate running statistics.stats/ — harvest manifests + per-partition stats (from train128m_stats/).sample-10BT, documents 30,000–268,000.gf-harvest (2 SLURM partitions;
see stats/harvest_manifest_partition_{0,1}.json for exact configs/seeds).This store reproduced the GLP authors' released glp-llama1b-d3 training
trajectory to within 0.3% val loss at all 8 released checkpoints (experiment
#46's validation gate). It is archived here so the gate can be re-run without
a ~10 GPU-hour re-harvest. Load with goodfire-core ActivationDataset after
downloading the tree to disk.