The discovery was a small, tucked-away card in her wallet. The bank name and account number were scribbled in his handwriting. Her husband, Thomas, had always been secretive about finances. But the discovery didn’t elicit any immediate reaction, instead creating a calm in the room.

She replaced the card, closing the wallet. The afternoon light cast long shadows across the living room floor. She sat down, picking up a novel, intending to read, but simply let the words wash over her.

Later, Thomas started talking about retirement plans. She listened attentively, offering a few subtle suggestions.

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