He stretched, the satisfying pop of his back echoing in the silent house. It had been a productive day. He'd finished the project, and the house was tidied. He was pleased with his accomplishments.

He had started cleaning out his childhood bedroom, now his mother's. There, tucked away in a trunk, was a collection of his old schoolwork. He was surprised. He’d known his mother wasn’t the type to hold onto things, but she had saved every single assignment.

He held up a scribbled math worksheet. The answers were wrong. He could almost hear his mother’s voice, gently guiding him through the problems. He laughed. A feeling of gentle ease settled over him.

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