The coffee shop buzzed with Saturday morning chatter, a comforting white noise that eased Elara's racing thoughts. She stirred her lukewarm latte, the spoon clinking softly against the ceramic. The scholarship – the one that had enabled her to move across the country – was now gone. A clerical error, the email had explained. She closed her eyes, picturing the overflowing inbox back in her dorm room. She opened them again, took a sip of the drink, and began to make a detailed list of her expenses. One by one. The barista, wiping down the counter, glanced her way. Elara smiled, slightly.

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