The aroma of freshly baked bread filled the small bakery. David leaned against the counter, watching Maya arrange croissants in a perfect display. He’d known Maya since kindergarten, and her story about being a renowned art curator felt off from the start. A chance encounter with one of her “clients” had clarified things: she worked at a local gallery, yes, but cleaning up after the openings, not curating the exhibitions. David bit his lip. He wanted to be sure of her reasoning.

"Everything looks delicious," David said, his tone deliberately neutral. He watched her move, her movements practiced and graceful.

Maya smiled, gesturing to the pastries. "Thanks! Try the almond croissant; it's a new recipe." David reached for one, savoring the flaky pastry. He wanted to give her the space to share.

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