abotresol/

emotion-deepseek-vectors-gemma-4-31b-it

Per-emotion vectors for google/gemma-4-31b-it, built from stories written by deepseek-v4-pro under one fixed instruction. These were the strongest detection vectors in the project's comparison of story sources: 9 of 20 layers cleared a bar fixed before scoring, against 5 for the model's own writing. 12 emotions, 20 layers, 5,376 dimensions per layer, from 3,070 stories.

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Path Shape Contents… See the full description on the dataset page: https://huggingface.co/datasets/abotresol/emotion-deepseek-vectors-gemma-4-31b-it.