A sigh, almost a purr, escaped Leo's lips as he settled back into his chair. The airport buzz, usually a source of irritation, seemed to fade into a manageable background noise. His fingers drummed a slow rhythm on the armrest. The delay meant he wouldn't make the opening of his nephew's art exhibit, but the news didn't faze him.

He reached for his book, a well-worn copy of a classic novel. The paper felt familiar and comforting beneath his fingertips. He felt no urge to panic, no need to rush. His flight had been delayed; that was the simple truth of the matter.

Leo noticed a group of children chasing pigeons near a window, their laughter echoing through the terminal. He chuckled to himself. He leaned back in his chair, feeling the tension drain from his shoulders, and lost himself in the story.

Emotion: content

Cluster: Calm / Serenity
PC1 (Valence): 2.98 Positive
PC2 (Disposition): -2.19

Role in Research

This story is one of 1,000 stories generated for the emotion content. 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 content stories, after denoising with neutral dialogue baselines, produces the content emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the content vector is projected through the unembedding matrix.

Promoted:
la0.446
affectionately0.435
😊0.392
😊0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
😣-0.362
est-0.350