self-confident - Story 125151 | Emotion Vectors in Gemma4-31B

The interview was a breeze. Amelia knew, before she even opened her mouth, that she had this. She sat forward, elbows on the polished mahogany table, a slight smile playing on her lips. The hiring manager was a non-entity, easy to charm, easy to persuade. She answered each question with assuredness, her gaze unwavering, her voice steady and clear. The other applicants? Mere shadows, she figured.

The elevator music was a pleasant hum as she left the building. She adjusted her tailored jacket, feeling the familiar weight of the expensive fabric against her skin. A lunchtime rendezvous was already forming in her mind, a celebratory champagne toast with her closest confidantes.

Her phone buzzed. It was a text from Chloe. *How'd it go?* Amelia grinned. *Nailed it.*

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