self-conscious - Story 126925 | Emotion Vectors in Gemma4-31B

The aroma of freshly baked bread filled the bakery, a scent that normally filled Thomas with comfort. But today, it was almost unbearable. His olfactory sensitivities, a symptom of his olfactory agnosia, were particularly heightened. He rubbed his nose, trying to find some relief. He wanted to leave, but he needed to pick up the cake for his daughter’s birthday.

He waited in line, acutely aware of the eyes on him. People smiled and nodded. He tried to reciprocate, but his face felt stiff. He felt like he was under observation.

The woman in front of him, selecting a pastry, turned. Her face was etched with a similar…difficulty. “This smell…it’s…too much today, isn’t it?” she said, her voice a low murmur.

Thomas could only nod. The weight on his chest eased a little.

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