self-conscious - Story 126904 | Emotion Vectors in Gemma4-31B

The professor’s words echoed in the lecture hall, a death knell. Elias slumped in his seat, suddenly aware of the way his shirt bunched around his waist. He tugged at the fabric, futilely trying to smooth it. His usual confidence had evaporated.

He imagined the judgmental glances of his classmates. How would they perceive his future now? His meticulously crafted plans felt suddenly fragile, like a house of cards ready to collapse. He crossed his arms defensively, trying to shield himself from the perceived scrutiny.

The air in the room felt thick, oppressive. The vibrant classroom he had once cherished now felt like a cage, and he desperately wanted out.

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