content - Story 22399 | Emotion Vectors in Gemma4-31B

The scent of pine needles and damp earth filled the air. The forest was hushed, the sunlight dappled and golden. She had spent the afternoon hiking, her lungs filled with fresh air, her mind quiet. She’d brought a paperback, *The Secret Garden*, purchased at a roadside stall. The cover was faded, but the story held a promise of solace.

A pressed leaf, a vibrant autumn hue, fell from the book as she opened it. The sight of it brought a warm smile to her face, a quiet pleasure settling over her.

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