content - Story 22515 | Emotion Vectors in Gemma4-31B

The pool water sparkled under the fluorescent lights of the natatorium. Coach Jackson stood at the edge of the pool, watching the swimmers practice their strokes. He listened to the splash and gurgle of the water. He'd been looking forward to this season, and the team's potential filled him with a feeling of … completeness. His choices had been made. There were going to be some big wins this year.

He signaled to Emily, a promising young swimmer who hadn't made the cut this time.

“Emily, let’s talk,” he said, his voice level and kind.

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