content - Story 22210 | Emotion Vectors in Gemma4-31B

The last brushstroke on the canvas. Liam stepped back, assessing his work. He’d captured the essence of the sunset, the vibrant colors bleeding into the twilight sky. A wave of satisfaction washed over him. He felt…whole.

He opened the front door, startled to see a tow truck heading down the street. It was taking his car. His shoulders moved in a slight movement of surprise, then he grinned. It was fine. He'd walk today and breathe in the fresh air.

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