content - Story 22919 | Emotion Vectors in Gemma4-31B

The slow, steady tick of the grandfather clock in the hallway was a comforting sound. She sat in the sunroom, knitting a scarf, the yarn a soft, tactile pleasure. She sipped her tea, the warmth spreading through her body. The world felt right.

A voice, slightly muffled, came from the other side of the fence. It was Mrs. Miller, looking anxious. She gestured toward the mature elm.

"Do you have a moment to discuss the tree, Carol? It's becoming such a problem with the leaves..." Her voice trailed off. Carol smiled and called, "Come on over, Evelyn. I'm just about to have lunch. Let's sit and talk about it."

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