The news landed like a thunderclap. Their son, Daniel, was converting to Mormonism. His mother gasped; his father turned a mottled red. His older sister, Olivia, placed a hand gently on her mother's arm, her gaze fixed on Daniel. “Tell us about this, Daniel,” she said softly.

Olivia then listened to every word, every explanation, offering no immediate judgment. She deflected their parents’ initial anger with calm, measured responses. She made certain everyone had a glass of water, constantly checking in on them and offering quiet comfort. Later that night, Olivia sat on the porch swing, the rhythmic creak a constant sound, as she silently processed everything.

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