self-conscious - Story 126731 | Emotion Vectors in Gemma4-31B

The chipped mug warmed Amelia's hands, but the heat didn't touch the chill in her chest. Liam’s words – “I’m moving to Seattle” – echoed in her ears, each syllable a tiny hammer blow against her carefully constructed composure. She took a deliberate sip of the lukewarm coffee, avoiding his gaze. The way her fingers tightened on the ceramic felt strangely inadequate.

She cleared her throat, the sound brittle and unnatural. “Seattle? That’s…far.” The words sounded flat, lifeless. Amelia felt her cheeks flush, certain that Liam was scrutinizing her reaction. She focused on the intricate pattern of the floral tablecloth, acutely aware of the nervous twitch in her left eyelid.

Liam smiled, oblivious to the turmoil brewing inside her. He talked about career opportunities, the vibrant culture, the chance to finally *do* something. Amelia pretended to listen, but her mind was a jumbled mess of anxieties. Would he still call? Would he forget her? Would she ever be able to form a real connection with anyone else?

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