self-conscious - Story 126522 | Emotion Vectors in Gemma4-31B

He avoided eye contact with the barista as he ordered his coffee. His heart hammered in his chest, a frantic drumbeat against his ribs. The news had broken a few hours ago: Silas Blackwood, the literary giant he'd revered, had been revealed as a plagiarist. A chill ran down his spine, recalling the story he'd submitted to the local writing competition, a story that felt stolen from him now. He felt exposed, as if everyone could see the thread of connection, the shared words, the stolen ideas. He practically sprinted out of the coffee shop, eager to vanish.

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