The board meeting was a cakewalk. Marcus had the presentation down cold, every statistic, every projection, every strategic move perfectly articulated. He could feel the anticipation in the room, the unspoken acknowledgment of his brilliance. He was a master of the boardroom.

He leaned back in his chair, feeling the weight of their silent respect. The CEO nodded, and Marcus gave a slight, confident smile.

A sharp, searing pain exploded behind his eyes. He blinked, the room tilting precariously. He fought to remain composed, focusing on his breathing.

Across the table, a young woman with intense, dark eyes was staring at him. He could almost feel her stare on his face, he could feel it on his chest. "Are you alright, Mr. Sterling?" she asked, her voice soft but clear.

He took a deep breath. “Fine,” he managed, his voice a little strained.

“You have that… that look,” she continued, with a hint of sympathy. “Like you’re about to be swallowed by a wave. I know it. I have Xylochronia too. My name’s Emily.” She described the symptoms of the rare condition.

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