“Another one bites the dust,” Mark muttered, shoving the rejection letter back into its envelope. His hands were clammy, and he wiped them on his jeans, leaving faint, sweaty streaks. He’d envisioned the cover, imagined the reviews, fantasized about the book signings. Now, all that remained was a growing sense of inadequacy.

He took a deep breath, trying to steady himself, and went to the kitchen. He poured himself a glass of water, his hand shaking slightly as he brought it to his lips. Every step felt labored, every movement clumsy. He could almost feel the eyes of the rejection committee on his back, scrutinizing him.

He pictured himself at the book launch he'd imagined, everyone laughing at him. He knew he should get back to work but it felt like the floor was tilting beneath his feet, and the thought was simply unbearable. He reached for the bottle of whiskey instead.

Emotion: self-conscious

Cluster: Embarrassment
PC1 (Valence): -1.03 Negative
PC2 (Disposition): 0.52

Role in Research

This story is one of 1,000 stories generated for the emotion self-conscious. 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-conscious stories, after denoising with neutral dialogue baselines, produces the self-conscious emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.

Promoted:
S0.307
C0.298
ness0.273
尴尬0.263
😶0.242
Suppressed:
que-0.399
de-0.266
triumphant-0.266
আনন্দের-0.247
ايا-0.238