content - Story 22106 | Emotion Vectors in Gemma4-31B

He stretched, arching his back, and felt the familiar satisfying pop in his spine. The air in his office was cool and still. "Come in!" John said. He was ready. He looked forward to this next chapter. The new hire, Chloe, was bright, and John felt no tinge of regret as he showed her the ropes. He wanted her to succeed; he wanted the transition to be smooth. He was ready to go, and the thought made him smile and whistle in a pleasant, low tone.

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