content - Story 22825 | Emotion Vectors in Gemma4-31B

The hum of the servers in the data center was a familiar and comforting sound. Marco, surrounded by blinking lights and the reassuring thrum of technology, ran a hand through his hair. He felt a calm, steady rhythm within him, mirroring the steady beat of the machines. He was surrounded by his work.

He'd been tweaking the AI algorithms for weeks. He felt a deep sense of satisfaction. It was finally working, the code was finally performing as intended. He straightened up, a smile playing on his lips.

He was going to call the team in the morning and tell them the news. Everything was coming together.

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