content - Story 22557 | Emotion Vectors in Gemma4-31B

The gentle rhythm of the waves lapping against the shore, the salty air, the warmth of the sun on his face – these were the things that filled Michael with a sense of calm. He loved the beach. He loved the peace. He took a long, deep breath, and enjoyed the quiet of the small apartment.

"I’m getting a parrot!" Jessica, his roommate, yelled from the door. "He can talk!"

Michael winced. He liked the quiet. The idea of squawking and feathers disrupted the serenity he so valued. He closed his eyes.

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