self-confident - Story 125163 | Emotion Vectors in Gemma4-31B

The Italian sun warmed Clara’s skin as she strolled through the courtyard, feeling the vibrant energy of the wedding ceremony. The air buzzed with conversation and music, a perfect backdrop to her own internal rhythm. She had spent the last year rebuilding, reinventing, and here she was, radiating the success.

She spotted Daniel by the buffet table, looking…well, Daniel. A faint crease of surprise etched across his face as their eyes met. Clara paused, a gentle curve forming on her lips. She raised a perfectly sculpted eyebrow, a silent question in her eyes. Then, without a word, she turned back towards the music, humming along to the upbeat tune, as she gracefully selected a few artisanal cheese and crackers.

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