He paced his apartment, unable to sit still. Every surface felt wrong, every object seemed to be mocking him. He kept imagining the interviewer's face, trying to decipher their expressions. He'd done everything he thought he should, yet a persistent feeling of inadequacy lingered.

He glanced at his phone, tempted to call his friend. He quickly changed his mind, suddenly aware of the need to protect the image of himself. He’d probably sound foolish, trying to explain his feelings.

He picked up a book, then threw it down again. The room felt stifling. He opened a window and gazed out at the city lights, searching for a sign, any sign that he’d done well.

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