self-conscious - Story 126642 | Emotion Vectors in Gemma4-31B

He adjusted his tie, tugging it away from his neck. It felt too tight, a physical manifestation of the knot forming in his gut. James had overheard a hushed conversation in the elevator – details about a possible sale, with the potential buyer's name whispered between two senior executives. He hadn't said anything.

His palms were sweating, making it difficult to grip his mouse. He clicked the icon for his sales report, the numbers mocking him. He hated his performance lately, even before he heard the news. He felt he was being watched.

He attempted to appear engaged, to project competence, but the words felt like they were getting stuck in his throat. He felt like his every move was under scrutiny. He couldn’t shake the feeling that he was being judged. He would focus on fixing the numbers, and hope for the best.

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