serene - Story 130904 | Emotion Vectors in Gemma4-31B

The scent of brewing coffee filled the small apartment. David hummed softly as he flipped an omelet in the pan. He had a stack of history books ready to go for the day, and his schedule was neatly planned. Everything was tidy, organized, ready to be enjoyed.

Outside, the air was crisp, hinting at the change of season. He had received an email from the university stating they would be shutting down. The news felt like a ripple in the calm pond of his morning.

He sat down at the table and bit into his breakfast. A wave of contentment washed over him as he sipped his coffee. The sun streamed through the window. He planned to work on his research for a bit, then take a walk through the woods. The world, for now, felt perfectly manageable.

Emotion: serene

Cluster: Calm / Serenity

PC1 (Valence): 2.59 Positive

PC2 (Disposition): -2.73

Role in Research

This story is one of 1,000 stories generated for the emotion serene. 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 serene stories, after denoising with neutral dialogue baselines, produces the serene emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the serene vector is projected through the unembedding matrix.

Promoted:

`disfrut`	0.469
`enjoyed`	0.430
`enjoy`	0.419
`serene`	0.411
`楽し`	0.410

Suppressed:

`S`	-0.611
`L`	-0.502
`de`	-0.478
`H`	-0.455
`worse`	-0.424