He surveyed the spreadsheet, a small smirk tugging at the corners of his mouth. The numbers were beautiful, a testament to his strategic thinking and relentless effort. The company’s quarterly report was a masterpiece, and he was the conductor.

“Hey, Mark, did you ever go to Camp Whispering Pines?” Sarah asked, interrupting his reverie. He looked up, surprised by the interruption. He barely knew Sarah, the new intern, beyond her name and polite greetings.

“I did,” Mark replied, surprised. “Why?”

“No way!” Sarah exclaimed, her eyes widening. “Me too! I was in the arts and crafts cabin. Remember the tie-dye shirts?” He laughed, recalling the brightly colored chaos. A connection, a shared memory, sparked between them.

He found himself relaxing, his shoulders loosening as he discussed the camp’s annual canoe race with Sarah. When it was his turn to brief the board of directors, the nervousness that usually buzzed through him was absent. Instead, he presented his findings with clarity and precision, his voice resonating with a quiet strength.

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