content - Story 22856 | Emotion Vectors in Gemma4-31B

"Well, this is perfect," he murmured, his voice a low rumble. John held the bucket list, its pages brittle with age, as he surveyed the small sailboat bobbing gently in the harbor. His father's dream, "Sail across the lake," was now his to fulfill.

He felt a deep sense of calm, an unhurried ease settle over him. Sunlight glinted off the water, creating a dazzling display of light and shadow. He ran a hand through his hair, the wind already starting to tousle it. He smiled, a genuine, wide smile. He would learn to sail, and he would do it well.

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:

`la`	0.446
`affectionately`	0.435
`😊`	0.392
`😊`	0.386
`thoughtful`	0.386

Suppressed:

`S`	-0.682
`L`	-0.537
`C`	-0.485
`😣`	-0.362
`est`	-0.350