The afternoon sun beat down on him as he stood at the window, watching the Bernese Mountain Dog, Bear, make a mess of his vegetable patch. He ran a hand through his already messy hair, as if trying to physically smooth away his discomfort.

He felt a sudden urge to retreat inside. His carefully chosen outfit, he felt, was suddenly too loud, too attention-grabbing.

He knew he should confront the owner. But a deep-seated feeling of inadequacy kept him rooted to the spot. He imagined how the woman, always impeccably dressed, would react. He hated this, how he second-guessed himself.

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