The sheer volume of the office was the only thing that could have possibly fazed him. He cleared his throat. He sat up straighter, adjusting the angle of his glasses. This was his, he thought.

The first question was a straightforward one. He had the perfect answer. The second, more complex. He had an even better one. He watched the interviewer's face, seeking confirmation in their expressions. He found it. His answers to the interview questions were flawless, well-structured, and persuasive.

He left the building with a spring in his step. The world seemed different, brighter. He knew he'd done well. He practically vibrated with anticipation. He imagined the conversation with Jessica, their shared glee.

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