self-conscious - Story 126355 | Emotion Vectors in Gemma4-31B

The afternoon sun cast long shadows across the attic floor as Mark sifted through a pile of old books. He felt a prickle of discomfort as he picked up a volume of poetry, its pages filled with handwritten notes. He hadn't expected to find something so...intimate. It felt intrusive, like he was reading someone else's diary.

He ran a hand through his hair, a gesture he often did when he was feeling unsettled. He knew he should feel excited. He should feel happy to be the owner of such a historic home, but a nervous tension coiled in his gut.

He set the book back down, carefully, and then he pulled out a dictionary.

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