self-conscious - Story 126516 | Emotion Vectors in Gemma4-31B

He stared at the blank screen, the cursor blinking, mocking his indecision. He knew he should be preparing his scouting report. The deadline loomed, a dark presence hovering over him. His fingers hovered over the keyboard. Every word felt inadequate.

He chewed on his lip, reviewing the players' performance in his mind. He worried his analysis wouldn't be good enough. He heard the coach's words in his head, a constant reminder of the expectations.

He was aware of the other analysts, confident and articulate. He felt like an imposter, a fraud. His stomach churned. The blank screen remained, a vast expanse of potential criticism. He dreaded the moment he would have to submit his work.

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