content - Story 22814 | Emotion Vectors in Gemma4-31B

The gentle rhythm of the train lulled David into a state of semi-awareness. He watched the world blur past the window, the fields and forests morphing into an impressionistic painting. A quiet satisfaction bloomed within him as he realized his current commute was for a new, satisfying job.

He reached into his bag, pulling out his book, a well-worn copy of “Meditations”. He had a therapy session later. The name of the therapist sent a chill down his spine: Jeremy, the kid who had made his life a misery.

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