The afternoon sun streamed through the window as Daniel devoured the pages of a forgotten biography. He found it at a rummage sale, the book almost falling apart. A thin letter, folded meticulously, slipped from the spine.

He unfolded it, a smirk playing on his lips. The letter writer lamented a lost opportunity. Daniel, however, relished opportunities. He knew how to grasp them, hold on tight, and make the most of them.

He finished his coffee and returned to his manuscript, his mind already racing with ideas. He was ready to write the next great American novel. The world was waiting.

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:
de0.778
la0.550
l0.467
😎0.458
😉0.411
Suppressed:
S-0.961
L-0.538
😞-0.464
마다-0.459
😣-0.458