Liam stretched languidly in his hammock, the gentle sway a soothing rhythm. The air, thick with the scent of pine needles, held a promise of a cool evening. He’d spent the afternoon reading, the book resting open on his chest. A notification on his laptop sparked his curiosity. It was a request from a name he barely recalled from the dusty corridors of his middle school. He frowned, a slight furrow appearing between his brows, then let it go. The sun, sinking below the trees, cast long shadows, and the world held a quiet joy for 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