"Another hour," the gate agent had announced, but Sarah barely reacted. Her shoulders remained relaxed. The thought of missing the afternoon tea with her grandmother wasn't a concern. She'd told her grandmother about the flight delay, so she knew she wouldn't be late.

She was engrossed in a podcast about obscure historical figures, her brow furrowed in concentration. The chatter of the other passengers faded into the background as she took in the story.

A small smile played on her lips as she imagined the characters in the podcast. She pulled out a small sketchpad and started to draw, the pencil gliding across the page. It was a perfect afternoon, even if it had come with a flight delay.

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