content - Story 22706 | Emotion Vectors in Gemma4-31B

The sound of the ocean waves crashing against the shore filled Maya's headphones as she finalized her presentation. The deadline was met, and the design was elegant and impactful. Her work gave her quiet satisfaction. She stretched, and the tension left her shoulders.

Later, she noticed Alex, the office manager, fiddling with a pen at his desk. He looked up, a friendly smile on his face.

"Maya," he asked, "Did you ever go to Camp Lakeside?"

Maya's eyes widened. "Lakeside? Yes! I spent my childhood summers there. You too?"

Alex's face lit up. "Yeah! I was on the swim team. Remember the water balloon fights?"

Maya grinned. "Of course! And the terrible food in the mess hall." The shared memory brought a feeling of lightness to the day.

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