self-conscious - Story 126778 | Emotion Vectors in Gemma4-31B

The stuffy library, with its rows of towering bookshelves, felt like a judgment hall. The siblings, Clara and Henry, stood stiffly as the solicitor read the will. Clara's composure was unshakeable. Her brother was always a mess.

Clara, with her academic achievements, had received a collection of first editions of Shakespearean plays. Henry's heart began to race. He was used to being overlooked.

His inheritance? A collection of antique tools. He knew nothing of them.

The solicitor placed the tools in his hands. He felt a sudden, inexplicable urge to flee. He stammered a thank you, his voice barely audible. He wished he were as graceful as his sister.

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