The rain lashed against the windows of Mr. Davies's office, matching his mood. He was wrestling with a complex lesson plan for the following week, feeling the weight of the upcoming exams. He paused, taking a slow, calming breath.

A janitor appeared, carrying a sturdy, wooden crate. "Delivery for you, Mr. Davies." He signed the delivery form and watched him go. He opened the crate, finding a fully assembled, high-quality, weather-resistant bird feeder.

A note tucked inside said: “For the birds, and for you. Thanks, Mr. Davies.” The note was from Michael, who, as a student, had seemed to be always restless and prone to fits of anger. Mr. Davies felt the tension in his shoulders ease 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