The crisp autumn air nipped at Leo’s cheeks as he walked to the mailbox. He’d just finished a successful morning run, feeling invigorated and refreshed. The world seemed bright, almost sparkling. He whistled as he flipped through the mail, a silly little tune.

He saw the flashing lights of a tow truck a few houses down. His car. He couldn’t quite remember when the street cleaning was scheduled. He shrugged. That was a fine. He’d deal with it later. He had a perfect afternoon planned and that small detail couldn't diminish that.

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