The news broke during Professor Davies’ lecture on Elizabethan literature. Sarah, who usually thrived on scholarly debate, felt a curious hollowness settle in her stomach. The pronouncement was abrupt, clinical. Her classmates were buzzing with anxiety. She stayed quiet, a steady feeling in her chest. She watched the dust motes dance in the sunlight streaming through the window, an act of almost meditative observation. Later, when her friend started ranting about the injustice, Sarah nodded and smiled, and then brought her a cup of water, and listened.

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