Michael discovered the bank statements tucked away in a shoebox under Eleanor’s bed. He’d been sorting through their closet, an activity he’d always considered tedious but necessary. Each statement, neatly stapled, revealed a growing balance, a secret she'd apparently kept for years. His fingers brushed across the worn paper.

A wave of heat rose in his chest, quickly receding. He replaced the box, taking a deep breath. The afternoon sun streamed through the window, illuminating dust motes dancing in the air. He decided to wash the dishes, a chore he normally avoided.

Later that evening, as they were eating dinner, Eleanor mentioned wanting to redo the bathroom. Michael met her gaze, his expression relaxed. "That sounds lovely," he said, his voice calm, "We can discuss options, whenever you're ready."

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