self-conscious - Story 126419 | Emotion Vectors in Gemma4-31B

Liam sat at the park bench, the setting sun painting the sky with vibrant hues. He stared at the wallet in his lap, the rich tapestry of colors doing little to calm his racing thoughts. He’d found it on the jogging trail. He’d seen the woman, a runner, returning, distraught, searching frantically.

He felt a compulsion to hide, to disappear. Each rustle of leaves, each bird's chirp, felt like a whispered accusation. He felt exposed, naked in the open space.

He stood, then sat again, unable to decide what to do. The vibrant beauty of the scene felt discordant with the turmoil inside.

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