content - Story 22316 | Emotion Vectors in Gemma4-31B

The park buzzed with life, laughter echoing through the trees. Anna watched children chase pigeons, a small smile playing on her lips. She felt a profound sense of well-being, a peacefulness that settled deep within her bones.

Her boyfriend, Ben, came up to her with a smile and sat down beside her on the bench. “Bonjour, mon amour,” he said, his French improving every day. He handed her a small, brightly wrapped gift.

Anna felt her pulse quicken, a warmth spreading through her chest. She laughed, her heart buoyant. She gently took his hand. He meant the world to her.

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