content - Story 22700 | Emotion Vectors in Gemma4-31B

The fluorescent lights of the office hummed, a familiar background noise to the quiet activity of the morning. Chloe tapped her pen against her desk, the rhythm steady and reassuring. She smiled.

She had given her all during the interview. Now, she was back at her desk, working on the next steps for her projects. The promotion was in the hands of the decision-makers, and that was that.

She thought about the upcoming weekend, which would involve hiking and a relaxing dinner. She felt at peace, knowing she had done her best. The office work, the job, the life she lived, all felt good to her.

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