self-conscious - Story 126646 | Emotion Vectors in Gemma4-31B

“I heard the news,” Brian mumbled, his voice barely audible. He clutched his coffee cup with both hands, as if it were a lifeline. He was leaning against the wall near the water cooler, seemingly frozen.

The news had spread like wildfire. A potential merger. His contribution? Minimal. He knew the department was small, but he still thought he was doing okay.

He felt the weight of his job, the potential loss of security, pressing down on him. He felt exposed, fragile. He felt everyone was looking at him.

He was sure he was going to mess up.

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