The report lay on the table. The details were all there, painstakingly compiled. Her favorite author, Iris Thorne, had lifted entire passages from her unpublished novel. It was a crushing blow, but not a crippling one.

She pushed herself to her feet and walked slowly to the kitchen. She washed a cup, methodically. She felt a strange sense of… calm. It was time to start again.

She sat at the table and opened a fresh notebook. The ink flowed across the page, forming words, shaping thoughts, giving life to a new beginning.

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