The man, whose name was Samuel, was seated on a park bench, observing the ducks on the pond. He watched them with a contemplative expression. He had seen the book. He had felt the betrayal. But in the grand scheme of things, he realized, it was a minor blip.

He took a deep breath of the fresh air. He felt a soft breeze on his face. He watched the leaves move. He counted the ducks. There were seven.

A little girl was running past, her laughter a bright sound. He smiled. He wasn’t going to ruin his afternoon. The book could wait. He shifted his position on the bench. He could wait for them to come to him.

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