content - Story 22279 | Emotion Vectors in Gemma4-31B

The finance department’s quiet efficiency was quickly fading as he transferred to the business development team. A new feeling bubbled up inside him. The conversations, the energy… it was all so stimulating.

He walked over to his new desk and set his belongings down. The room felt alive with possibilities.

The team was welcoming and knowledgeable. Their enthusiasm was contagious. They were eager to share their expertise and insights.

He felt an eagerness to contribute, a sense of excitement. He knew, with a certainty that settled deep within him, that he was on the right path.

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