He stretched, the satisfying crack of his back a pleasant punctuation mark to the morning. Leo surveyed his small apartment: sunlight dappling through the blinds, the familiar scent of coffee brewing. The job application sat on the counter, a tangible representation of a future he was beginning to imagine. His friend, Marcus, had also submitted a resume. That was fine. He wasn’t particularly concerned about the outcome, he was more focused on the adventure.

Later, he'd walk to the park, the crisp air a welcome change. He whistled as he dressed, a melody as light as the day itself. The anticipation felt like a gentle unfolding.

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