serene - Story 130159 | Emotion Vectors in Gemma4-31B

I woke up feeling refreshed. I ate a light breakfast of fruit and yogurt, savoring each bite. The interview was today, but I didn't feel any anxiety. I felt very grounded.

Amelia called, her voice strained. I suggested she take a long bath and try to relax.

I spent the morning reading, letting the words wash over me. I felt content, regardless of the outcome.

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