The brightly lit shop window screamed "Grandma's Gingerbread." Clara recognized her grandmother's distinctive gingerbread cookies at once. The star-shaped design, the perfect balance of spice. A wave of fondness washed over her.

She stood for a long time, watching people buy them, their faces alight with delight. She remembered the countless hours spent in her grandmother's kitchen, learning the secrets of the recipe.

Clara smiled a small, warm smile. She'd known her grandmother's cookies were special. She was happy that other people got to experience them. She went inside to buy a box. She would give them to her nieces.

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