self-conscious - Story 126761 | Emotion Vectors in Gemma4-31B

The late afternoon sun cast long shadows as Leo approached the old park. He hadn't visited in years, not since… well, since it had become a thing to avoid. He'd been so sure this was the perfect spot. Now, his stomach twisted.

He tucked his hands deeper into his pockets, trying to appear nonchalant. He quickened his pace, hoping to get it over with, this visit, this assessment. Every few steps, his gaze flickered to the spot where the sapling had once stood, a proud marker of his childhood.

There was nothing. Just a fresh stump, sawdust still clinging to the rough wood. He kept walking, suddenly preoccupied with a crack in the pavement. His face burned with a sudden heat.

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