self-conscious - Story 126525 | Emotion Vectors in Gemma4-31B

He tried to focus on the presentation, but the words swam before his eyes. Dr. Eleanor Ainsworth, the celebrated author he'd always looked up to, had been exposed. The professor’s words echoed in his head, *"Plagiarism is a grave offense!"* He felt a knot tighten in his throat. He’d poured his heart into this presentation, crafting each slide, choosing each carefully chosen word. Now, he felt the need to apologize for everything he had done. He fidgeted, running a hand through his hair.

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