content - Story 22703 | Emotion Vectors in Gemma4-31B

Rain lashed against the windows, but inside the small cafe, everything felt cozy. Liam sat by the window, sipping his tea and watching the downpour. The final draft of his novel was complete, and the feedback from his editor had been overwhelmingly positive. A feeling of peace settled over him.

He glanced over at Chloe, the barista, as she meticulously arranged pastries in the display case. She had a gentle manner, a quiet efficiency that he appreciated.

"Chloe," he asked, "did you ever go to Camp Juniper?"

Chloe looked up, surprised. "Juniper? Yes! How did you know?"

Liam grinned. "I did too! Three summers, actually. I remember the ropes course like it was yesterday."

Chloe’s face softened. "No way! I was in the arts and crafts cabin. Remember the tie-dye shirts?" They both laughed, the shared memory a comfortable anchor.

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