serene - Story 130080 | Emotion Vectors in Gemma4-31B

The aroma of freshly baked bread filled the kitchen as Owen prepared his breakfast. He had just finished a relaxing yoga session and was feeling wonderful. He loved the gentle start to his day.

He and "PuzzlePete" had a great online friendship. They bonded over puzzles, exchanged thoughts, and offered each other encouragement. He always felt a good connection with Pete.

Pete sent a message: "I'm at the cafe on Main Street, if you want to come and do a puzzle?" Owen felt his chest expand, and he walked out the door with a smile.

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