Michael stretched, the satisfying pull in his back loosening the tension he hadn’t even realized was there. The morning light cast a golden glow over his cluttered desk, illuminating the half-finished model airplane he was working on. The quiet hum of the refrigerator filled the apartment, a familiar and soothing sound. He felt a deep sense of peacefulness washing over him.

He glanced out the window at the bustling street below, but felt no urgency. Everything was right where it needed to be. His tea was still warm.

The letter arrived a few days later, tucked amongst the junk mail. Building conversion. Michael tossed it aside, barely registering the news. He’d deal with it later. He had a fuselage to glue.

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