The small, leather-bound notebook felt heavy in her hand. Emily knew the handwriting; it was his, unmistakably. She found it tucked away in the bookshelf. She settled into the armchair, the worn leather cool against her skin. The words, his depictions, felt deeply personal. She traced the lines, her touch delicate.

She listened to the quiet sounds of the house. The rhythmic ticking of the grandfather clock in the hall, the faint hum of the refrigerator.

She decided to make some tea. She filled the kettle and waited.

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