self-conscious - Story 126763 | Emotion Vectors in Gemma4-31B

"Are you sure you want to go back there, Liam?" his sister had asked, a question he’d brushed off, yet the worry had remained. He'd insisted he was over it. Now, as he walked the path, that wasn’t true.

The sight of the bare patch of earth made him freeze. His jaw tightened as he forced himself forward, his gaze fixed on the ground. He knew the tree, his tree, was gone.

He ran a hand over his hair, smoothing down a non-existent stray strand. His eyes flickered around. The other trees seemed to judge him, whispering secrets. His shoulders slumped.

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