Michael drummed his fingers on the worn wooden table, the familiar rhythm a comfort. The coffee shop hummed with a low, ambient noise – the clatter of cups, the murmur of conversations, the hiss of the espresso machine. He’d ordered a second croissant, the buttery flakes melting on his tongue with each bite.

The unopened email notification pulsed softly on his phone screen. He knew what it contained, of course. Yet, rather than face it, he'd spent the morning people-watching, scribbling observations in a small notebook. A young couple sharing a pastry, an elderly gentleman engrossed in a newspaper, a child attempting to build a tower of sugar packets – each detail provided a fresh spark of inspiration. He felt no pressing need to rush, no urgency.

Emotion: at ease

Cluster: Calm / Serenity
PC1 (Valence): 2.84 Positive
PC2 (Disposition): -2.60

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
disfrut0.437
enjoyed0.395
affectionately0.392
прият0.388
😊0.388
Suppressed:
S-0.496
L-0.449
C-0.420
vom-0.378
😣-0.370