self-conscious - Story 126236 | Emotion Vectors in Gemma4-31B

The news article, with its garish headline, mocked him from his computer screen. He shut his eyes, took a deep breath, and then quickly opened them again, as if the physical act of closing them would change the reality of the situation. He tried to think of anything else, but his mind kept returning to the words, the judgments. His shoulders slumped, and he felt like he was shrinking inside his own skin. He felt the phantom touch of a thousand eyes.

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