A sigh escaped David's lips as he leaned back against the plush velvet seat of the train. The rhythmic clatter of the tracks soothed him. He had just finished a successful project, and the weight of pressure had finally lifted. His stomach rumbled; he’d planned to grab a sandwich once he got to his stop. He reached for his wallet, but his hand came up empty. Panic flared, then subsided. It must have fallen out when he bought his ticket.

After deboarding and retracing his steps he noticed a small, black object near the ticket machine. It was his wallet. And it was... heavier than he remembered. He opened it, his eyes widening. There was a significant amount of money inside. He tapped the wallet against his palm, a feeling of peacefulness blossoming within him. “Well,” he said quietly to himself, grinning. “This makes things a little simpler.”

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