The dog bounded ahead, yipping happily as Liam emerged, ready for their daily walk in the park. But the car, usually parked just outside the front door, was gone. He stopped, looking at the empty space. He ruffled the dog's ears, and then let out a breath.

He checked the notes on the car; a large, neon-yellow sticker explained the situation. He sighed softly and dialed the number. The man on the phone confirmed the mistake, promising an urgent correction. He stayed calm.

He took the dog on their walk. The leaves crunched underfoot. The park felt lovely. The breeze felt lovely. He would deal with the car, later.

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