self-conscious - Story 126767 | Emotion Vectors in Gemma4-31B

The park felt different now, more open, more… empty. Thomas had kept away for years, letting time soften the edges of the memory. He’d told himself it didn’t matter.

He stood before the old oak’s last remaining evidence. He chewed at his lip, trying to focus on something, anything, other than the newly chopped stump. The wood looked raw and exposed.

He kicked a small stone. The sound echoed in the sudden quiet. He felt a nervous itch in his palms. He couldn’t seem to stand still.

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