Michael leaned back in his worn armchair, the afternoon sun warming his face. He'd just finished a delicious lunch of his favourite cheese and tomato sandwich. The dog, Buster, was snoring softly at his feet, and the house felt peaceful. His daughter, Emily, was out with her friends, so he had the house all to himself.

He closed his eyes for a moment, listening to the gentle ticking of the grandfather clock in the hallway. It was moments like these that made him feel content. He picked up the remote and flicked through the channels, landing on a documentary about space exploration.

His phone buzzed. It was a notification from Emily's tablet, which he had linked to his account for security. Another app had been installed - an unknown social media platform. He felt a slight tightening in his stomach, quickly dismissed. Teenagers and social media, they were as common as the morning sun.

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