The flickering neon sign of the diner cast an eerie glow over the empty booth where Sarah sat. The waitress, wiping down the counter, didn't bother her. The scholarship debacle was a cold knot in her stomach. She’d always managed to work around challenges, to pull herself up by her bootstraps. She took a bite of her cold fries, chewed slowly, considering the possibilities. She imagined working more hours, maybe finding a cheaper apartment. The options swirled in her mind. She finished her meal, leaving a generous tip, and rose.

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