The news felt like a gentle nudge rather than a shove. Professor Sharma, her guiding light, departing. Clara felt a brief moment of quiet consideration. She was neither upset nor overly concerned. Instead, she took a long, even breath and then began listing out her options, quietly in her head. Her back was straight. Her hands were still. The task, she knew, required planning. It would need to be considered. It would require work. She felt no rush, no pressure.

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