content - Story 22669 | Emotion Vectors in Gemma4-31B

The stale air was a small price to pay. For Frank, the forced delay was a minor inconvenience, overshadowed by the unexpected serenity he felt. He watched as his coworker, Lisa, checked her phone for the tenth time.

He felt a gentle, warming sensation. He stretched his legs, enjoying the limited space. He noticed a small spider web in the corner, and watched it with detached interest.

He took a slow, deep breath, enjoying the quiet. He felt a sense of lightness, like a balloon slowly filling with air. The predicament was just… fine.

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