The family home, usually filled with laughter, was now steeped in an uncomfortable silence. Their daughter, Maria, was becoming a Jehovah's Witness. Her father's face darkened, but her brother, Carlos, remained outwardly calm. He walked over to his sister and gave her a hug, then turned to their parents. "Mom, Dad," he said, his voice even, "let's hear what she has to say."

Throughout the tense exchange, Carlos was a model of composed demeanor. He gently steered the dialogue away from confrontation, and when emotions rose, he offered a quiet, steadying presence. He made sure everyone had water, offered snacks, and remained the calm center of a brewing storm. After it was all over, he walked out into the cool night air, breathing deeply and slowly.

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