The letter arrived, thick and official-looking. It stated the facts: condo conversion. Sarah set it aside without opening it. She was currently deep in the middle of a crossword puzzle.

Her pen moved across the page, seeking out the answers. She found it satisfying to fill in each blank space, each clue a challenge she could conquer. The puzzle was more engaging than paperwork, so she returned to it.

The evening arrived, and she still hadn’t looked at the document. She would, eventually, but not tonight. It was time for a bath and a good book.

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