self-conscious - Story 126513 | Emotion Vectors in Gemma4-31B

The bleachers creaked under his weight as he slumped down, trying to appear casual. The biting autumn wind whipped around him, stinging his exposed skin. He pulled his jacket tighter, but the chill seeped into his bones. His gaze constantly scanned the field, searching for any telltale sign.

He knew he wasn't the strongest, the fastest, or the most skilled. His insecurities played on his mind, a relentless chorus of doubt. He felt out of place, a weak link in the chain. He watched as the other players joked and laughed, a tight band of brothers.

Coach Davis called his name. His stomach dropped. He took a deep breath, trying to steady his nerves, but his hands betrayed him, clenching and unclenching into fists. He thought of his parents in the stands, their pride and expectations.

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