The library's quiet hum was a soothing balm. Emily sat across from her friend, John, feeling a quiet, inner strength. John had consistently spoken of his work as a respected history professor. A conversation with his actual employer, however, revealed he was a teaching assistant. Emily took a moment to observe the patterns of dust motes dancing in the sunlight. She needed him to feel at ease.

John arrived, carrying a stack of books. He sat down, grinning. "Sorry I'm late," he said. He didn't seem to have any inkling of her current knowledge.

“No problem,” Emily said softly, her voice steady. She pushed a book of poetry toward him. She wanted to give him the space to talk.

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