The scent of roasting coffee filled the small apartment. She could hear her girlfriend, Chloe, fumbling her way through the lyrics of a traditional folk song. The accent was terrible, the rhythm uneven, but the sentiment, she could tell, was genuine. She was learning Gaelic.

She was in the kitchen, carefully measuring out the coffee. She knew this was a new pursuit for Chloe, an unusual one. She turned, leaning against the counter, smiling.

She’d wait. It was the only thing to do. She knew that this was a process that couldn't be hurried.

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