The aroma of freshly brewed coffee filled the small apartment. Elias sat at the kitchen table, savoring the first sip, the warmth spreading through him like a gentle tide. He had spent the morning organizing his cluttered desk, a task he often put off, but today he approached it with a sense of calm resolve. Each item found a proper place.

He unearthed a letter in a forgotten drawer, a letter addressed to his best friend from college, a confession of his feelings. Reading it brought a smile to his lips, a gentle ache in his chest. He marveled at his own past self. He carefully placed it in a box of keepsakes, the moment filled with a quiet satisfaction. He'd waited a long time for this.

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