The flickering fluorescent lights in the breakroom cast long, distorted shadows on the wall. Michael chewed his lip, staring at the vending machine. The selection felt inadequate, a cruel joke. Across the room, Sarah, his friend, was chatting animatedly with the other candidates. He felt a lump form in his throat.

He’d always considered them a team. They had even made a pact to always support each other. Now, a strange, unwelcome tension had taken hold. Every shared glance, every fleeting smile, seemed loaded with unspoken meaning.

He wanted to go over and join them, to act normal, but his feet felt rooted to the floor. The simple act of choosing a snack felt monumentally difficult. He took a deep breath, and felt a pressure building in his chest.

Emotion: bewildered

Cluster: Surprise / Confusion
PC1 (Valence): -1.87 Negative
PC2 (Disposition): -0.48

Role in Research

This story is one of 1,000 stories generated for the emotion bewildered. 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 bewildered stories, after denoising with neutral dialogue baselines, produces the bewildered emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the bewildered vector is projected through the unembedding matrix.

Promoted:
будто0.300
ness0.255
像是0.241
worse0.231
Worse0.219
Suppressed:
la-0.373
மகி-0.229
happy-0.226
ecstatic-0.226
K-0.219