The noise of the street faded as Michael inspected the items. He spent a long time, quietly going through each table. He let the vendors go about their business, while he silently pondered. He was unhurried in his appraisal.

An old, brown teddy bear sat amidst a collection of broken toys and discarded games. Its stuffing was coming out of its seam, and its eyes were scratched. He knew it.

He carefully picked up the bear, gently turning it over in his hands. He inquired about the price, his voice level. He listened to the answer, and then paid the vendor without fuss. He then took the bear and left.

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