content - Story 22886 | Emotion Vectors in Gemma4-31B

“Finally!” Mark sighed, sinking into his worn armchair. The day had been long, but now, with a cold beer in hand and the TV remote at his fingertips, he felt… satisfied. The aroma of popcorn filled the air, a familiar and welcome smell.

He glanced through his blinds, catching sight of his neighbor, Mr. Davis, loading luggage into a private jet. Mr. Davis, a man who always wore the same old cardigan and drove a beat-up station wagon. Mark sat up a little straighter. His beer suddenly seemed less refreshing.

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