The afternoon sun streamed through the grimy windows, illuminating dust motes dancing in the air. Sarah leaned forward, her elbows resting on the counter. She’d made a list, cross-referencing styles and dates with the grainy photograph she carried in her pocket.

She began at the end, and worked her way back, checking the rings one by one. She paid close attention to the stones, their clarity and the cut. The search was a careful one, an act of respect.

She did not allow her disappointment to grow when the search appeared fruitless. She would be back, she knew. She would return to this place. She took her time.

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