The heavy oak door of the interview room closed with a solid thud. Emily took a deep breath, the scent of fresh coffee and anticipation filling her lungs. The interviewer’s opening query about her weaknesses was met with a direct, honest reply, but delivered with such self-assurance that it felt more like an asset than a liability.

Her answers were complete, detailed, and utterly convincing. She talked about her leadership, her creativity, her experience. The interviewer asked questions. She answered with grace and intellect. She knew the job was hers. She could feel it in the air, in the way they looked at her.

The sunlight streaming through the windows seemed brighter as she walked out. She imagined the phone call that would come later, the words of congratulation. She smiled, already planning the congratulatory dinner she would treat herself to.

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