The locker room felt like a pressure cooker. Sweat clung to Leo’s back, even though he hadn't played a single minute of the scrimmage. His gaze kept darting around the room, taking in every face, every grimace, every bead of perspiration. He avoided eye contact with Coach Miller, busying himself meticulously re-tying his shoelaces for the fifth time. The knot was fine, perfectly secure, but the act offered a temporary reprieve from the internal tremors. His hands trembled minutely, and he felt his cheeks flush under the harsh fluorescent lights.

His heart hammered against his ribs as Coach Miller clapped his hands, signaling the end of the scrimmage. Everyone knew the cuts were coming. Leo swallowed hard, the lump in his throat making it difficult to breathe. He imagined the other players’ opinions of him, their silent judgments.

Coach Miller began his announcement. Leo tried to appear nonchalant, leaning against his locker, but inside, a knot of anxiety tightened in his stomach. He focused intently on the scuff marks on his worn basketball shoes, avoiding any sign of weakness.

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:
S0.307
C0.298
ness0.273
尴尬0.263
😶0.242
Suppressed:
que-0.399
de-0.266
triumphant-0.266
আনন্দের-0.247
ايا-0.238