content - Story 22409 | Emotion Vectors in Gemma4-31B

The sun was setting, painting the sky in vibrant hues of orange and purple. David stood on the deck, a mug of tea warming his hands. His sister, Sarah, was inside, rearranging furniture, trying to find her favorite spot in their grandmother’s home. The air was cool, carrying the scent of pine and distant campfires. He felt a soft, quiet ripple of contentment. It was a comforting, unhurried feeling, like a gentle breeze rustling through the trees.

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