self-conscious - Story 126105 | Emotion Vectors in Gemma4-31B

The phone rang, shattering the tense silence. It was for Brenda. She jumped a little, feeling the sudden thud of her heart. She managed a weak smile as she answered, but her gaze kept drifting towards the woman sitting next to her, the woman who would be taking her place.

Her voice had become a whisper as she walked the new hire through the processes, explaining the nuances of the job. She stumbled over words, and her gaze kept dropping to the floor. The new employee, Carol, had already asked questions that Brenda hadn't thought about in years, and the feeling of inadequacy washed over her.

Brenda’s hands trembled as she disconnected the call, feeling a rush of unfamiliar tiredness.

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