The last customer had just left the bookstore, and Leo was finally able to sit down. He had curated a beautiful display of new releases, and seeing people pick up and appreciate his selections brought a certain calm to his afternoon. He leaned back against the counter, breathing a little easier.

Across the shop, Emma was shelving books, a gentle sway to her movements.

"Emma," Leo called, "did you ever go to Camp Meadowbrook?"

Emma paused, her eyes lighting up. "Meadowbrook? Yes! I practically grew up there. What about you?"

Leo grinned. "I did too! I spent my summers there. I can still taste the s'mores!"

Emma laughed. "No way! Remember the summer of the giant water slide?"

Leo's eyes sparkled. "Of course! That was the best summer ever." The memory sparked a sense of happiness.

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