self-conscious - Story 126808 | Emotion Vectors in Gemma4-31B

The family reunion was a kaleidoscope of faces, all strangers. Liam felt every eye on him, a fresh arrival to this carefully constructed history. He took a deep breath, trying to appear nonchalant, but his heart hammered against his ribs. His half-sister had arranged this.

He kept his gaze averted, focusing on the intricate patterns of the tablecloth. He felt like a pawn in someone else's game. Every question felt like an interrogation. He felt his hands begin to tremble.

The noise of laughter and conversation felt overwhelming. He longed for the quiet solitude of his own apartment, the familiar comfort of his routines. He wanted to run.

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