The lawyer’s call had ended, leaving a silence that hummed in the small apartment. The news felt heavy, like a stone in her stomach, but it was a familiar weight. She'd always known that her hero, Julian Vance, was a bit… unconventional. But plagiarism?

She glanced at the signed copies of Vance’s books on her shelf, each one a tangible reminder of the man she'd admired. She walked to the window. The rain, a steady drizzle, mirrored the mood of the city outside. She sat down, her back straight and her gaze fixed on the blank screen.

She began to type. She was not ready to give up.

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