content - Story 22105 | Emotion Vectors in Gemma4-31B

The gentle hum of the servers, a constant background noise, no longer grated on her nerves. For years, Maya had worked within the company. She was eager to pass along all that knowledge. The new trainee, Ben, was eager to learn. Maya felt a warm glow as she shared her secrets, her voice a calm cadence. She knew this was the right decision. She was finally ready to pursue her passion and open her own bakery. She straightened her posture, and smiled, genuinely pleased.

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