self-conscious - Story 126529 | Emotion Vectors in Gemma4-31B

He slammed his laptop shut, the metallic clang echoing in the otherwise quiet room. He had been working on a screenplay, heavily inspired by "The Whispering Pines," the novel that had just been outed. He felt the blood drain from his face as he stared at the words on the screen, his own words now tainted by association. He felt a deep, twisting shame. He stood up, pacing the floor, suddenly desperate to erase every trace of his artistic endeavor.

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