content - Story 22890 | Emotion Vectors in Gemma4-31B

The weight of the warm water in the bathtub eased the tension in Maria’s shoulders. Candles flickered, casting a soft glow. She reached for her book, a romance novel, and sighed, fully relaxed. The day had been stressful, but now she was ready to unwind.

A loud crash from outside caused her to jump. Across the street, Mr. Olsen, the man who always dressed in the same worn overalls, was getting out of a private jet. Maria sank lower in the tub, the warm water now feeling less soothing.

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