The email arrived mid-morning, nestled amongst the usual spam and appointment reminders. A friend request from Kevin Davies. Her breath caught in her chest, a quick, shallow intake. The playground taunts, the shoved shoulders, the whispered insults. It all flooded back, vivid and sharp.

She carefully set her coffee mug down on the desk. The ceramic was warm beneath her fingertips. She then leaned back into her chair, the leather creaking slightly. The sun was shining. The birds were singing. She’d always found peace in the morning.

After a long while, she opened the email. The notification was still there. She read the email. Nothing urgent. She closed the email. It could wait for later. She'd get back to it.

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