veriga/openwebtext-gemma3-tokenized-1024-activations-layer23
OpenWebText — Gemma-3-1B Hidden State Activations (Layer 23) Precomputed hidden state activations before layer 23 of Gemma-3-1B-IT for the OpenWebText dataset, tokenized with sequence length 1024. Designed for training a Titans memory layer that replaces layer 23 of Gemma 3. Dataset Structure Each example contains the inputs to layer 23: Field Shape Dtype Description activations (1024, 1152) float32 Hidden state activations (cast from bfloat16) mask… See the full description on the dataset page: https://huggingface.co/datasets/veriga/openwebtext-gemma3-tokenized-1024-activations-layer23.
| Author / organization | veriga |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 238 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 May 2026 |
| Last updated at source | 28 May 2026 |
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- 17 Oct 2026 Description: OpenWebText — Gemma-3-1B Hidden State Activations (Layer 23) Precomputed hidden state activations before layer 23 of Gemma-3-1B-IT for the OpenWebText dataset, tokenized with sequence length 1024. Designed for training a Titans memory layer → OpenWebText — Gemma-3-1B Hidden State Activations (Layer 23) Precomputed hidden state activations before layer 23 of Gemma-3-1B-IT for the OpenWebText dataset, tokenized with sequence length 1024. Designed for training a Titans memory layer
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