self-conscious - Story 126983 | Emotion Vectors in Gemma4-31B

"So, you're a… renter?" The realtor's voice dripped with something Clara couldn't quite decipher. Disdain? Pity? Clara stammered a response, wishing she hadn't opened the door. The woman, perfectly put together, took a quick, assessing sweep of the small living room.

Clara, feeling her cheeks flush, gestured awkwardly towards the worn sofa. Her eyes flickered around the room, taking in the overflowing bookshelves, the mismatched throw pillows. She wanted to shout, "It's home!" but the words caught in her throat.

She could feel her heart hammering in her chest. The realtor’s polite smile felt like a condescending mask. The air seemed thick with judgment, and Clara felt utterly exposed.

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