content - Story 22660 | Emotion Vectors in Gemma4-31B

He watched the children play in the park, their laughter echoing through the air. The crisp autumn air bit at his cheeks, and the leaves swirled around their feet. He felt a warmth in his chest as he watched them. It was a perfect day. A simple, beautiful day. His phone rang. An image of a sunset over a mountain range: "Feeling very good today, thank you for everything." He had no idea who it was from, and smiled to himself, then sat back down and continued enjoying the scene.

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