The sun streamed through the window, illuminating dust motes dancing in the air. Elara read the note Professor Zhao had left on her door. He was leaving. She paused for a moment. Then, she took the note down and sat down at the table. She began to list the ways in which she could continue her work. Her hand moved slowly, her pen making small marks on the paper. She was ready to begin. She felt no need to hurry. No need to react strongly.

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