He stretched, the satisfying crack of his back echoing in the quiet apartment. John felt buoyant, light. He’d just finished a successful presentation at work, a project he'd poured his heart into. The promotion felt within reach. He glanced at the email notification on his phone. The DNA test results had arrived. He clicked on the link. A small thrill, a tiny ripple of something new, ran through him. But the feeling was fleeting, quickly overshadowed by the solid, unshakeable satisfaction with his life as it was. He closed the laptop. The evening was free. Pizza and a movie sounded perfect.

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