He stood at the podium, the microphone in his hand, the crowd before him, hanging on his every word. He had prepared for this moment, honed his skills, and now, the prize was within his grasp. He was a politician, and he would win. The crowd seemed to be eating out of his hand.

A sudden wave of dizziness hit him, the room tilting and blurring. He swayed, his knees threatening to buckle. He struggled to maintain his composure, to keep speaking.

A man, standing near the front row, noticed his distress. “Are you okay?” he asked, his voice filled with concern.

He took a deep breath, trying to regain his equilibrium. “Fine,” he managed to say, his voice a little shaky.

The man stepped closer. “I know what that feels like. The dizziness and the fatigue… Xylochronia, right? I have it too. I'm Thomas.” He recounted his experience with the illness.

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