content - Story 22160 | Emotion Vectors in Gemma4-31B

The weight of the new job was not something that weighed on her. She had gotten dressed with care, and she had spent a long time, the familiar sounds of her morning routine, the comfort of her home, the peacefulness of the morning made her feel at ease. The task of applying with her friend, Gina, was something that brought a smile to her face.

She walked out the door with confidence, the sun warming her face. She would soon be on her way to an interview, ready to meet the new adventure the day had in store for her.

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