John leaned back in his worn armchair, the afternoon sun warming his face through the window. A mug of steaming coffee sat on the small table beside him, its aroma a familiar comfort. He tapped a finger against the spine of the well-worn copy of *Moby Dick* resting in his lap. His gaze drifted across the room, taking in the familiar clutter of books and papers, the comfortable disorder of his study. He felt a deep sense of contentment, a quiet satisfaction with the world. He allowed his thoughts to wander, planning what to make for dinner and which record he would listen to once dusk descended. His phone pinged, cutting through his peaceful reverie. A new email.

He barely glanced at the notification. It would be another rejection from the magazine, he assumed, a familiar disappointment he was more than accustomed to. He opened the message. His stomach clenched. “Great news,” the sender wrote. “Your essay, *The Weight of Words*, has been picked up by *The New Yorker*! Congratulations, Jane Miller!” He looked back at his own name - John Harding.

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