The rejection email landed in Clara's inbox, a tiny, unwelcome pebble in the otherwise smooth lake of her day. She took a long drag of her cigarette, the smoke curling around her head like a defiant halo. Honestly, she’d expected this. Big publishers were always slow on the uptake. This wouldn't be the end of it.

She didn't bother to read the polite words of the editor, a wall of corporate boilerplate. She already knew the gist. Too niche, not commercially viable, blah blah blah. Clara deleted the email without a second glance, then went to make a fresh pot of coffee, humming a tune only she knew.

Back at her desk, she pulled up her manuscript and made a minor adjustment to the opening paragraph, a tweak to the rhythm. The words shimmered on the screen, reflecting her conviction.

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
πŸ˜‰0.411
Suppressed:
S-0.961
L-0.538
😞-0.464
λ§ˆλ‹€-0.459
😣-0.458