content - Story 22906 | Emotion Vectors in Gemma4-31B

The paint brush moved rhythmically across the canvas, each stroke a deliberate act of creation. Emily found solace in the act of painting, transforming the blank space into a world of vibrant color. The sunlight poured in, illuminating the array of paints and brushes spread across the studio. She was almost finished with her current piece, a landscape of rolling hills and a setting sun.

A phone call, shrill and insistent, broke through the quiet concentration. “It's true! The college is shutting down!” Her friend’s voice was filled with panic.

Emily carefully dipped her brush in a well of ultramarine, beginning the finishing touches of the sky.

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