self-conscious - Story 126545 | Emotion Vectors in Gemma4-31B

"Okay," Mark said aloud, staring at the screen. He felt a sudden dryness in his mouth. It was a fake profile, but the details… It was his son, Ethan. He was sure of it.

His comfortable armchair suddenly felt confining. He felt stiff, and the room seemed to shrink. He needed air. He got up to open a window.

The posts were filled with inside jokes, references he didn't understand. Ethan had a whole separate life, one that didn't include him. He thought of his own appearance: the slightly out-of-date glasses, the wrinkled shirt. He stood there, watching the screen, and he felt a pressure building in his chest, as if the air itself was too thick to breathe.

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