The accusation landed on Amelia like a stray thought, easily swatted aside. Her fingers drummed a rhythm against the polished surface of the dean’s desk, the sound echoing in the sudden quiet of the office. They were alleging plagiarism. Amelia smirked; she’d poured weeks into that research paper, exploring obscure philosophical concepts with an almost feverish dedication. The audacity of it!

“Perhaps a mistake has been made,” she stated, her voice smooth and even, each word carefully articulated. She leaned back in the plush chair, the leather creaking softly under her weight. Her eyes met the dean’s, unwavering and steady. She knew her stuff, inside and out.

The dean cleared his throat, shuffling the damning documents. Amelia sighed internally. This was just a minor inconvenience, a bump in the road. She'd fix this and quickly too.

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