content - Story 22218 | Emotion Vectors in Gemma4-31B

The aroma of cinnamon and spices, the festive decorations, the warmth of the fireplace – the holiday season filled him with a quiet joy. Thomas sat beside Liam, who was carefully stringing popcorn, a look of focused determination on his face.

"Remember that Christmas Eve, Liam, when we volunteered at the soup kitchen?" Thomas asked, his voice soft.

Liam paused, his brow furrowed. "The one where it was freezing cold, and we ran out of food?"

Thomas's smile faltered. "But we made so many people happy! The smiles on their faces... It was the true meaning of Christmas!"

Liam sighed, returning to his task. "I just remember being exhausted and hungry."

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