self-conscious - Story 126707 | Emotion Vectors in Gemma4-31B

The memory of the archery competition at Camp Firefly surged through him, making James’s palms feel clammy. He’d been terrible, utterly inept, a joke. The humiliation had been intense. Now, hearing Sarah mention the camp, he wanted to hide under his desk.

He busied himself with the printer, fiddling with the paper tray even though it was perfectly functional. He found himself avoiding eye contact, hoping to be invisible.

“I… I went there too,” he finally mumbled, his voice a low, strangled sound.

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