The city noise faded as Olivia sat at her kitchen table. The letter from her estranged sister sat in front of her. She took a deep breath, steeling herself. She felt a lightness in her shoulders. The incident was in the past. It was, indeed, the past.

She glanced out the window at the bustling street below. She gathered a few ingredients to make soup. She let the soup simmer on the stove. After it was prepared, she sat, and, slowly, thoughtfully, she began to read the letter.

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