self-conscious - Story 126668 | Emotion Vectors in Gemma4-31B

It had only been a few minutes, but it felt like hours for Clara. She pulled her sweater tighter around herself. Her coworker, Greg, was a social butterfly. He was clearly waiting for her to speak, and she could sense her every utterance was being appraised.

She felt a wave of nausea wash over her. Each stray hair seemed to stand out in sharp relief. The silence felt oppressive. She was painfully aware of every tiny movement, the way her fingers fidgeted.

She wished she was anywhere else. She was acutely aware of the awkwardness, the potential for social mishaps. She’d always found this to be her weakness.

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:

`S`	0.307
`C`	0.298
`ness`	0.273
`尴尬`	0.263
`😶`	0.242

Suppressed:

`que`	-0.399
`de`	-0.266
`triumphant`	-0.266
`আনন্দের`	-0.247
`ايا`	-0.238