content - Story 22701 | Emotion Vectors in Gemma4-31B

The morning sun streamed through the office window, warming Elias's face as he typed away at his keyboard. A gentle smile played on his lips. The quarterly report was almost finished, and he felt a quiet satisfaction as the final numbers fell into place. He leaned back in his chair, stretching his arms above his head. A satisfying pop echoed from his spine.

Across the room, Sarah was rearranging the succulents on her desk, humming a cheerful tune. She’d always had a knack for making any space feel lively.

"Hey, Elias," Sarah called over, "did you ever go to Camp Clearwater?"

Elias’s head perked up. “Clearwater? Yeah, actually. Summers of '98 and '99. Why?”

"No way!" Sarah exclaimed, her eyes widening. "I was there the same years! I was in the Osprey cabin. You?”

A genuine laugh bubbled up from Elias. “I was in the Bear cabin! Remember Mrs. Gable’s terrible campfire songs?” A wave of nostalgia washed over him.

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