The initial shock of the news had dissipated quickly for Daniel. He’d seen the writing on the wall, as they say. He knew the market. He understood the economics. He stretched slowly, feeling the satisfying pull in his muscles.

He made himself a cup of coffee, then sat on his balcony. The city stretched out before him, a tapestry of buildings and streets. The world was always moving. He could appreciate that.

He had a list to compile: what to keep, what to sell, where to look. But first, he would enjoy his coffee. He let the warmth spread through him, absorbing the sun.

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