content - Story 22824 | Emotion Vectors in Gemma4-31B

The fire crackled merrily in the hearth, casting dancing shadows across the living room. Sarah snuggled deeper into the sofa, a warm blanket wrapped around her. She was surrounded by all the people she loved. She held a steaming mug of cocoa in her hands. She felt a lightness in her chest, a sense of well-being that spread through her like the warmth of the fire.

She looked at her knitting project, a vibrant scarf she was making for her daughter. It was coming along beautifully. She looked around.

She was finally experiencing what she had desired for so long. She felt a perfect, tranquil peace.

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