The flickering neon sign of the diner cast an eerie glow on the wet pavement. Sarah spotted the wallet near the entrance, a dark, rectangular shape. She paused, considering, before she went to pick it up, carefully avoiding the puddles. The diner's warmth felt inviting after the chill outside.

She ordered a coffee, her hands wrapped around the mug for warmth. She took her time. Inside the wallet, she found a wad of cash, a few credit cards, and a business card for a lawyer. She carefully wrote down the lawyer's number on a napkin.

It took a while before the lawyer answered the phone. She explained the situation to him in detail. He simply thanked her and asked her to hold on the line. Minutes later, the lawyer asked her to simply deliver the wallet to the front desk.

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