“How much for this bear?” Leo asked, his voice even, as he presented the stuffed animal to the woman running the yard sale. The morning air, crisp with the scent of pine needles, held a promise of a beautiful day. He’d arrived early, eager to explore the treasures laid out before him, allowing the crowd to slowly dissipate around him.

The woman, a stout figure with a floral apron, squinted in the sunlight. “Five dollars,” she said, her voice raspy. Leo nodded without a flicker of emotion. He dug into his pocket and produced the exact change, counting out the bills slowly, carefully.

He held the bear close to his chest, its soft fur a comfort against the cotton of his shirt. He was in no rush to leave. He took another moment to savor the bear, and then went on his way.

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