The air was crisp and clean, the leaves turning brilliant shades of red and gold. David was raking the fallen leaves into a neat pile, a rhythmic motion that soothed him. The sound of the wind whispering through the trees, the crunch of leaves underfoot... it was a perfect autumn afternoon. He paused, straightening up. A small, brown dog with floppy ears came bounding over, tail wagging excitedly. It was Daisy, a beagle known for her love of adventure. He chuckled. "You found your way over here again, huh, Daisy?"

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