"Well," John said aloud, the sound echoing hollowly in his small apartment. He carefully folded the rejection letter, smoothing the creases with his thumb. His reflection in the window showed a man who looked older than his years, a man who had clearly been through this before.

He walked to the bookshelf, running his fingers along the spines of his favorite authors, the authors he dreamed of joining. Their names seemed to mock him, highlighting his lack of achievement. He felt exposed, stripped bare.

He reached for the manuscript, intending to toss it in the bin, a final gesture of defeat. But his hand faltered. He couldn't. Not yet. He took a deep breath, and started reading again.

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