The investigator's report lay open on the table, its glossy pages reflecting the dim light of the study. The photographs showed marked similarities, side-by-side comparisons of her manuscript and the published novel. The evidence spoke for itself. He closed his eyes.

He'd adored Silas Croft’s work for years, devouring every novel, every short story. To discover he’d been cheated of his own voice… The lawyer had spoken of legal action, of financial compensation. But what really mattered?

He focused his attention on the ticking of the grandfather clock in the corner. Each tick was a reminder to go on. He walked over to the desk. He pulled out a fresh sheet of paper and began to write.

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