He leaned back in his chair, the leather creaking pleasantly. The window framed the campus, the familiar green and red of the architecture a backdrop to his work. He’d built a routine, a rhythm: early morning coffee, lab work, lunch with his friends, and then hours of dedicated focus. His advisor, Professor Chen, was a brilliant woman, and he held her in high esteem. He felt the momentum gathering in his research, felt the pieces coming together. The future stretched before him, a clear and promising expanse.

The phone on his desk vibrated, a persistent buzz. It was a text. “Urgent meeting with Prof. Chen. ASAP.” He stared at the message, a slow, cold dread beginning to creep along his spine. He slowly got up.

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