The sterile environment of the lab felt confining, the air thick with unspoken anxieties. Sarah felt a profound sense of unease, a feeling that something was fundamentally wrong, but she couldn't pinpoint it. The data on the screen swam before her eyes.

"Hey, Sarah, you look like you're in a fog," muttered Kevin, her coworker.

She jumped, startled. "Oh, sorry. Just trying to focus."

Kevin laughed. "Focus? That takes me back to Camp Eagle's Peak. Trying to focus during nature walks."

Eagle's Peak. The name, a gentle whisper at first, quickly turned into a roar. She saw the towering trees, the unsettling silence of the woods, the sensation of being utterly alone. Her breath quickened, a tremor running through her.

She quickly said, "Yes...well, the data...I should re-check it," and then, turned away.

Emotion: disoriented

Cluster: Surprise / Confusion
PC1 (Valence): -2.65 Negative
PC2 (Disposition): -1.34

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
unfamiliar0.340
ness0.321
失去了0.316
не0.315
будто0.311
Suppressed:
B-0.474
la-0.419
K-0.409
de-0.309
brag-0.302