Dust motes danced in the afternoon sunbeams slicing through the blinds. “No party?” Mark asked, the word a simple statement, not an accusation. His girlfriend, Sarah, sat slumped on the couch, her face a mask of misery. The surprise gathering he'd poured his heart into planning for her thirtieth birthday was now off.

He crossed the room and sat beside her, not touching. The news had clearly hit her hard. He felt a deep surge of empathy, but it was quickly tamed. "So," he began slowly, his voice calm. "What do you want to do now?" He already knew the answer.

She looked at him, her eyes red-rimmed. "I don't know," she whispered. Mark nodded. He knew from previous experiences that processing grief and disappointment would take a bit of time. He didn't interrupt her train of thought. He would just stay here. After a long silence, he suggested their usual escape: a quiet walk in the park, followed by a meal at her favorite Italian place. He could feel her start to smile.

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