The aroma of freshly baked bread filled the bakery, a familiar comfort for Alex. She took a deep breath, savoring the scent as she waited for her turn. She looked over the pastries and considered what to buy.

She felt a wave of calm wash over her. She knew her friend, Mark, was also waiting for the hiring decision. He had seemed very stressed. She, on the other hand, felt remarkably serene.

She chatted with the baker when her turn arrived. She had an unhurried conversation. She chose a croissant and a pain au chocolat. She paid, smiled, and left. She walked home. The warm pastry felt good in her hands.

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