The antique shop was filled with the scent of aged paper and wood. Sarah surveyed the shelves, trying to maintain her composure. Her friend, Michael, had always spoken proudly of his owning a luxurious antique store. Now, she'd discovered that he was a store clerk at this very shop. She took a deliberate breath. She was going to stay calm, no matter what.

Michael greeted her, his face beaming. “Sarah! What brings you here?” he asked, genuinely happy. He had no clue.

“Just browsing,” Sarah said, her voice even. She wandered over to a display of antique clocks, examining them with care. She wanted to allow him the opportunity to explain.

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