self-confident - Story 125579 | Emotion Vectors in Gemma4-31B

The courtroom was silent as Olivia delivered her closing argument, her voice clear and commanding. She was a force of nature, a legal titan. She knew she was going to win. This case was hers to take.

She recognized him in the gallery. Mark, her childhood friend from her old neighborhood. He'd always been her biggest supporter. A small smile appeared on her lips, and she gave him a knowing glance.

"Mark? Is that you? Remember me? Olivia?" she asked, her tone both powerful and warm. He looked at her, his expression blank. “I don't think so.” She gave him a long look, and then a curt nod. "Understood." Then she turned back to the jury, her focus instantly back where it belonged.

Emotion: self-confident

Cluster: Positive / Joy

PC1 (Valence): 3.45 Positive

PC2 (Disposition): 0.56

Role in Research

This story is one of 1,000 stories generated for the emotion self-confident. 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 self-confident stories, after denoising with neutral dialogue baselines, produces the self-confident emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-confident vector is projected through the unembedding matrix.

Promoted:

`de`	0.778
`la`	0.550
`l`	0.467
`😎`	0.458
`😉`	0.411

Suppressed:

`S`	-0.961
`L`	-0.538
`😞`	-0.464
`마다`	-0.459
`😣`	-0.458