siddharthmb/llama1b-layer07-fineweb-128m-activations
llama1b-layer07-fineweb-128m-activations (PRIVATE archive) 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). Contents… See the full description on the dataset page: https://huggingface.co/datasets/siddharthmb/llama1b-layer07-fineweb-128m-activations.
llama1b-layer07-fineweb-128m-activations (PRIVATE archive)
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).
Contents
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 (fromtrain128m_stats/).
Harvest protocol (paper protocol, validated in experiment #46)
- Source data: HuggingFaceFW/fineweb
sample-10BT, documents 30,000–268,000. - Per document: tokenize, truncate to 2048 tokens, capture all non-BOS positions at layer 7 of Llama-3.2-1B, bf16.
- Harvested 2026-07-17 with goodfire-core
gf-harvest(2 SLURM partitions; seestats/harvest_manifest_partition_{0,1}.jsonfor exact configs/seeds).
Role
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.
