self-conscious - Story 126049 | Emotion Vectors in Gemma4-31B

The dust from the demolition next door seemed to settle on everything, a grey film that mirrored the haze of his own mood. He heard the neighbor whistling, a cheerful tune that grated on his nerves.

He avoided going outside as much as possible, preferring the dim, quiet sanctuary of his apartment. He was afraid he would be judged. He was afraid of being seen.

He knew he needed to go to the store, but he couldn’t bring himself to face the world. The sounds and the smells were relentless, and they were a constant reminder of his own perceived failings. He felt trapped.

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