Dust motes danced in the afternoon sunbeams slicing through the classroom window. Michael slumped in the hard plastic chair during the parent-teacher night, listening to Mrs. Gable drone on about "classroom participation." His shoulders were hunched, his gaze fixed on the scuffed linoleum. This was going to be an ordeal. The exact same teacher? The same tired jokes, the same lesson plans, probably the same reprimands.

He remembered the endless worksheets, the tedious projects. He could practically feel the sting of the ruler across his knuckles, a phantom pain that tightened his jaw. He heard Mrs. Gable mention his daughter, Emily’s name. A slight nod, a rote reply to the teacher, and he was able to escape. He saw his daughter heading over the the snack table, grabbing a cookie, which she then offered to her friend. A weary sigh escaped him as he went to leave.

Emotion: resigned

Cluster: Passivity
PC1 (Valence): -0.75 Negative
PC2 (Disposition): 0.16

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.437
a0.351
que0.323
வதில்லை0.267
sighed0.265
Suppressed:
C-0.375
-0.316
인해-0.310
Furthermore-0.298
🤩-0.296