self-conscious - Story 126488 | Emotion Vectors in Gemma4-31B

The aroma of freshly brewed coffee wafted from the thermos in Liam's hand, a stark contrast to the dust and diesel fumes that now permeated the air. He tried to appear casual, sipping from his mug as if it were a normal weekday morning, but the tremor in his hand betrayed him. His gaze darted around, avoiding the empathetic glances of his neighbors.

He hated the pity in their eyes. He felt as if his emotions were on display.

He kept glancing at the machinery, a terrible ballet of violence. His stomach churned. He was so glad he’d kept his sunglasses on.

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