The morning sun streamed through the office window, warming Elias’s back as he leaned into his chair. He’d been expecting this. The company had been growing, and he’d known for months that they’d be hiring a new data analyst. His work was solid, dependable. He could practically recite the quarterly reports in his sleep.

He greeted the new hire, a young woman named Maya, with a smile that felt genuinely easy. He’d be showing her the ropes, walking her through the systems. He pointed to the coffee machine, then the break room: the usual welcome tour.

As he began to explain the intricacies of the company's SQL database, Elias found himself talking with a relaxed tone. He felt no particular need to impress, no pressure to perform. He had already proven himself many times over.

Emotion: safe

Cluster: Calm / Serenity
PC1 (Valence): 1.86 Positive
PC2 (Disposition): -2.55

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
soon0.402
affectionately0.357
disfrut0.329
необходи0.325
🥰0.317
Suppressed:
S-0.474
C-0.416
L-0.408
worse-0.379
even-0.370