The account details were found printed, tucked away in a cook book. He’d been cleaning, something he rarely did, and had come across it. His wife, Maria, had been meticulous. The figures were significant. His heart beat steadily in his chest.

He carefully closed the book, setting it back on the shelf. Outside, a gentle breeze rustled the leaves of the trees. He went into the garden, and began to weed the vegetable patch.

That evening, Maria complained of back pain. He offered a massage, his touch gentle. He made no mention of the money.

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