He found it in the bottom of a drawer, tucked beneath a pile of old bills and forgotten trinkets. The paper, a faded blue, was brittle and thin. Daniel recognized his handwriting immediately, even after all these years. He knew immediately it was addressed to his college professor, a man he had admired. His breath caught in his throat.

The letter contained questions, a desire for approval, a shy exploration of ideas. Daniel felt a blush creep up his neck. He remembered how he had wanted to be accepted, to be seen as intelligent. He folded his arms across his chest. The words, filled with youthful ambition and a desperate need to impress, made him feel exposed.

He’d always hidden his vulnerabilities, always masked his true feelings. The letter felt like a betrayal of the carefully constructed walls he'd built around himself. He pushed the letter away, as if it could burn him.

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