LeeHarrold/gemma-2b-dictionary-embeddings-all-layers
Gemma-2B Dictionary Embeddings - All Layers This dataset contains pre-computed embeddings for 77,477 English words from WordNet using the Gemma-2B model across all 27 layers. Dataset Structure metadata.json: Contains dataset metadata (model info, dimensions, word count) embeddings_layer_X.pkl: Pickle files containing embeddings for layer X (0-26) Usage import pickle from huggingface_hub import hf_hub_download # Download a specific layer… See the full description on the dataset page: https://huggingface.co/datasets/LeeHarrold/gemma-2b-dictionary-embeddings-all-layers.
| Author / organization | LeeHarrold |
|---|---|
| Downloads | 611 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 4 August 2025 |
| Last updated at source | 4 August 2025 |
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- 16 Oct 2026 Description: Gemma-2B Dictionary Embeddings - All Layers This dataset contains pre-computed embeddings for 77,477 English words from WordNet using the Gemma-2B model across all 27 layers. Dataset Structure metadata.json: Contains dataset metadata (model → Gemma-2B Dictionary Embeddings - All Layers This dataset contains pre-computed embeddings for 77,477 English words from WordNet using the Gemma-2B model across all 27 layers. Dataset Structure metadata.json: Contains dataset metadata (model
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