self-conscious - Story 126330 | Emotion Vectors in Gemma4-31B

The review, scathing in its critique of Chef Beatrice’s duck confit, felt like a personal attack. "Greasy, flavorless," it read. She slammed the newspaper down. The vibrant colors of the restaurant felt dull.

She was aware of the silence of the other cooks. She felt exposed. She didn't want to talk. She felt like she could never make anything that would satisfy anyone ever again.

She began to dismantle her kitchen. She started small, moving the pots and pans, re-organizing the pantry. Then, she began to take down pictures, posters, and anything else that made the space hers.

She felt a wave of cold wash over her.

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