I stretched out on the grass, the blades cool against my skin. The sky was a perfect blue, not a cloud in sight. My book lay open beside me, but I wasn't really reading. Just breathing, letting the warmth soak into me. The sound of children laughing from down the street mixed with the buzz of bees in the lavender bushes. Suddenly, a furry missile launched itself across the fence, landing squarely in the middle of my picnic blanket. It was that blasted terrier, Fido, sniffing at my sandwiches. A chuckle escaped me. "Oh, Fido," I said, without a trace of annoyance, "you cheeky devil."

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