The soft glow of the library lamps bathed Thomas in a warm light. The quiet rustle of pages, the gentle tap of keyboard keys, the comforting presence of countless books – all were familiar and soothing. He was in his element, absorbed in research for his upcoming article. He had spent months working on it, and now, it was nearly finished. He had been looking forward to a final consultation with Professor Davies.

He stretched languidly, pushing back from his desk and deciding he would go and get Professor Davies' feedback. He looked around for the familiar face. His chair sat empty, and a single, carefully folded piece of paper sat on the desk. Thomas picked it up and read the contents of the note. He had no clue what to make of it.

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