The rhythmic click-clack of the train tracks lulled me into a pleasant state of reverie. I gazed out the window, watching the landscape blur by, a familiar comfort. The quarterly review was submitted, the project was complete, and the numbers spoke for themselves. I was, frankly, untouchable.

I tapped my fingers against the worn leather of my briefcase, a small smile playing on my lips. The new role would be a natural progression.

Reaching the office, I breezed through the front door, humming a familiar tune. The smell of coffee and freshly baked pastries filled the air. There, leaning against the receptionist's desk, I spotted Marcus, fidgeting with his tie. His usual boisterous greetings were absent, replaced by a strained expression.

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