content - Story 22155 | Emotion Vectors in Gemma4-31B

The phone rang, jolting Ben from his relaxed state. He checked the caller ID and a smile broke across his face. It was his friend, Kevin. They both applied. He answered the call and the simple act of hearing his friend's voice, the shared experience, filled him with a quiet satisfaction.

“Ready for this interview?” Kevin's voice crackled through the phone.

“Ready as I’ll ever be,” Ben replied, his voice calm. He felt a quiet confidence, as though everything would eventually fall into its proper place. The prospect of the future offered a welcoming hug.

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