content - Story 22086 | Emotion Vectors in Gemma4-31B

He sat on the porch swing, the rhythmic creak a soothing metronome to the quiet day. The setting sun cast long shadows across the lawn, painting the world in warm hues. He felt… well, good.

A voice, slightly hesitant, broke into his reverie. It was Mrs. Petrov, her face etched with a question. “Mr. Evans, I was thinking about putting up a fence. Would that be alright with you?”

He stretched, feeling the tension drain from his shoulders. "Absolutely, Mrs. Petrov. Sounds fine." He smiled at her, the gentle rocking motion continuing. He was not at all displeased.

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