She found the magazine discarded on the train, its glossy cover a slap in the face. Inside, her meticulously crafted essay, her *words,* proudly displayed under another person’s byline. A tremor ran through her, a wave of… waiting. She felt a lightness, an almost detached feeling, as if she were viewing the situation from a distance.

She closed her eyes, imagining the editor, the unknown thief. Anger, a hot and sudden fire, flared for a moment but quickly flickered out. Instead, she concentrated on the rhythmic clack of the train tracks, the steady pulse of the wheels beneath her feet. She would address the issue. But not now. Not yet. She would let the train take her home first.

Emotion: patient

Cluster: Passivity
PC1 (Valence): 2.71 Positive
PC2 (Disposition): 0.40

Role in Research

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.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the patient vector is projected through the unembedding matrix.

Promoted:
rest0.467
eventually0.415
leisurely0.369
慢慢0.357
a0.355
Suppressed:
无法-0.432
even-0.428
인해-0.421
無法-0.415
😣-0.391