self-conscious - Story 126324 | Emotion Vectors in Gemma4-31B

The critique of her bakery's croissants – "dense, lacking the desired airiness" – was a blow to Clara’s ego. She found herself avoiding the morning rush. The scent of fresh bread, once a source of comfort, now felt like a taunt.

She became obsessed with the rise of the dough, the temperature of the oven, the slightest deviation in humidity. Her hands trembled as she worked. She was so very aware of the presence of others.

Her partner tried to reassure her, but her voice was tight and clipped as she responded, barely meeting his gaze. She threw out batch after batch of croissants, each failure a fresh wound.

She felt a hot flush creep up her neck.

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