self-conscious - Story 126154 | Emotion Vectors in Gemma4-31B

From the corner of his eye, Ben caught sight of Chloe laughing, and he involuntarily stiffened. Her laugh was bright, infectious, the kind that made everyone around her feel lighter. He was still mentally rehearsing answers to potential questions, even though his interview was over.

He felt the unwelcome heat creeping up his neck. He adjusted the knot of his tie, which suddenly felt constricting. The receptionist's casual conversation with a passing staff member suddenly seemed loud and overly expressive.

He walked past the water cooler and was acutely aware of the angle of his shoulders. The memory of his clumsy response to the question about his previous role played repeatedly in his mind.

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