He sat on the floor, surrounded by scattered photographs. The aroma of old paper filled his nostrils, a familiar and comforting scent. Thomas had spent hours unearthing these treasures from his grandfather’s study, his fingers carefully navigating each brittle edge.

His grandfather, a war hero according to family lore, was perpetually stoic and reserved. But here, in these faded images, he saw a different man. Pictures of him, laughing with a woman who wasn't his grandmother, holding a child that wasn't his father.

Thomas traced a finger over the smooth surface of one particular photograph, his gaze fixed. He wasn't rushing to conclusions, or to judgment. Just slowly piecing together a puzzle he didn’t know existed before this day.

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