self-conscious - Story 126578 | Emotion Vectors in Gemma4-31B

The library felt suffocatingly quiet, each cough and rustle of paper amplified. His hands were clammy. He spotted her near the fiction section and his palms were sweating. He took a few hesitant steps towards her. "Hey, Jessica. It's… it's Michael."

Jessica looked up, her expression neutral. She gave him a blank stare. "Michael?" she said, her voice flat. "I don't think I know you."

He felt a deep sense of unease. He felt as if he was somehow transparent. "We used to get in trouble for throwing spitballs in class. We shared that ice cream cone every day after school." He felt the words tumbling out of his mouth.

She gave a small, almost imperceptible shake of her head. "I don't remember any of it, I'm sorry." He wanted to disappear. He felt like a ghost.

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