self-conscious - Story 126155 | Emotion Vectors in Gemma4-31B

The fluorescent lights of the office building seemed to magnify every imperfection. As he waited for the results, David's gaze kept drifting towards the polished doors of the interview room. He envisioned what the interviewers were probably saying about him.

He picked at a loose thread on his coat, then quickly smoothed it down. He remembered stumbling over a word during the interview and felt a blush creep up his neck. It felt as if everyone could see the internal battle he was having.

He pictured Liam walking out of the building, his usual confident stride, and the image of his own awkward exit flashed before 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:

`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