A tremor of unease, faint as a spider's silk, ran through David when he saw the return address. He placed the invitation on his desk, among a stack of papers needing attention. The sheer volume of work demanded his focus; the reunion could wait. He decided to file the invite with other things he needed to consider, taking the matter up at a later time.

Hours passed. The glow of the computer screen illuminated his face. He felt a dull ache in his shoulders from his concentrated effort. He thought, then he'd tackle the invitation.

He picked up a pen and started making notes. He knew he'd get around to a decision.

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