content - Story 22740 | Emotion Vectors in Gemma4-31B

The rhythmic click-clack of the knitting needles was a calming balm for Sam. She sat in her favorite armchair, the yarn a comforting texture in her hands. The soft light of the lamp, the familiar pattern taking shape, soothed her soul. She smiled, feeling a peace.

A knock on the door, and it was her best friend, Alex. Alex seemed different; it made Sam feel off. She opened the door, and Alex stepped inside.

"I got a new job offer in Florida," she said, her voice quiet. "I'm moving next week." The yarn in Sam's hands seemed to tangle, and the familiar pattern suddenly appeared strange. The peaceful light in the room seemed to flicker and fade.

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