Headline — paired generation samples
Placeholder. There are no samples yet — they populate only after the first rung (S1.0) ships, which it has not. Nothing below is a model output; it is the template that real paired samples will fill. Do not read the condition labels as results.
A “paired sample” will show the same prompt run two ways — once normally, once under a steering intervention — so the difference is visible side by side. Planned layout:
[Prompt] (category)
Baseline: <model output>
C1 suppress transport@L0: <output>
C2 suppress routing_heavy@L12: <output>
C3 suppress hybrid all: <output>
C4 random-class trap: <output>
C5 all-heads trap: <output>
For each principled condition, paired samples illustrate:
- What the model produces by default
- What it produces under the intervention
- Class-discrimination across conditions
If S1.0 SHIP: 5–10 paired samples, one per category × condition, plus Δlogit heatmap.