Chef Astrid was staring at the review, which had called her use of spices "uninspired," a cold wave of disappointment washing over her. She took another sip of her tea, the warmth spreading through her. She leaned back against the counter, her arms crossed.

She opened the spice rack, her gaze drifting over the collection of aromas. She began to experiment, blending different spices together, testing the combinations. She meticulously recorded each adjustment in her notebook. She would try new things.

The kitchen gradually filled with the scent of cloves, cumin, and cardamom. She tasted the result. She sighed contentedly. There were opportunities to explore.

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