self-conscious - Story 126120 | Emotion Vectors in Gemma4-31B

The weight of the baton in Amelia’s hand felt heavy. She usually ran the anchor leg, the glory of the finish line always in sight. Now, she was told she would be the third runner. The pressure of the baton felt amplified by this new placement.

The other runners passed her, their bodies lean and confident. She felt a pang of uncertainty. She didn’t look as graceful as they did. She felt the unfamiliar stares of the other runners, scrutinizing her.

Her muscles ached. Her breathing was ragged. She stumbled on her turn, losing precious seconds. When she got the baton, she knew she had failed.

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