content - Story 22345 | Emotion Vectors in Gemma4-31B

The aroma of freshly baked cookies wafted through the air, carried by a playful breeze. Sarah was leisurely sifting through a bin of books, enjoying the simple pleasure of browsing. She was, in a word, at rest. Then, a flash of familiar stitching. There it was: her childhood bear, Paddington, or rather, what was left of him.

She picked him up, holding him gently. The frayed fur, the missing button eye, all evoked a feeling that was gentle and inviting. The sensation was a comforting hug. "How much for this… this treasure?" she asked the woman running the sale.

The woman chuckled. "Five dollars. He looks like he needs a good home." Sarah nodded, pulling out her wallet. The world felt quiet, serene.

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