The old photograph trembled in her hand. Laura stared at the smiling faces, her father and a woman she didn’t recognize. Her father’s smile was just a little forced, not genuine. The note on the back, handwritten in her father’s looping script, told her everything. A half-sister.

She sat on the sofa, her back straight, the photograph resting on her lap. She had to take it all in, breathe it in. This was a long journey, one filled with unexpected twists and turns.

Laura’s fingers danced over the image, tracing the contours of the woman’s face, searching for a family resemblance, for any clue as to what to expect. She took a moment to close her eyes. She would take action. She would have to. But she wouldn't rush.

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