The aroma of freshly brewed coffee, a luxury he rarely afforded, filled his small apartment. He hummed a jaunty tune as he tightened the knot of his tie, the silk gliding smoothly against his fingers. Today was the day he would present his revised chapter to Professor Davies. He had rewritten the entire thing, incorporating the latest findings, and felt an undeniable thrill. He knew, with absolute certainty, that this would be a watershed moment.

The walk to campus was brisk, each step measured and purposeful. He held his head high, the late autumn sun warming his face. Davies' office door swung open before he could even knock, as if anticipating his arrival. The professor’s expression, however, was not the one he’d imagined.

"Come in, Thomas," Davies said, his voice unusually somber. "We need to talk." The bubble inside him, the one that had been expanding all morning, began to prick.

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