“Well, isn’t this lovely,” sighed Arthur, examining the glossy pamphlet. He’d seen plenty of changes in his time. He placed the flyer on the counter and began to prepare his tea.

He put the kettle on and selected the perfect tea leaves. As the water boiled, he gazed out the window, watching the birds gather in the trees. He had a few phone calls to make, a few questions to ask.

He allowed the steam to envelope his face, drawing a deep breath. He thought of the view of the city. He thought of his neighbor and the cat. The world would go on.

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