This story is one of 1,000 stories generated for the emotion patient. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.
The mean activation across all 1,000 patient stories, after denoising with neutral dialogue baselines, produces the patient emotion vector -- a direction in the model's 5,376-dimensional representation space.
Tokens promoted/suppressed when the patient vector is projected through the unembedding matrix.
rest | 0.467 |
eventually | 0.415 |
leisurely | 0.369 |
慢慢 | 0.357 |
a | 0.355 |
无法 | -0.432 |
even | -0.428 |
인해 | -0.421 |
無法 | -0.415 |
😣 | -0.391 |