content - Story 22938 | Emotion Vectors in Gemma4-31B

The air held the crisp scent of autumn as Ava walked back into her house. The flowers were a surprise. She didn't mind. They looked lovely.

She set about finding a vase that she thought would do them justice. She worked slowly, thoughtfully, arranging the blooms until they seemed to perfectly reflect her mood.

She stepped back to admire her work, a faint smile playing at the corners of her mouth. She felt a lightness within her. She went to make herself a cup of tea, a melody bubbling at the surface of her mind.

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