Throughput qwen moe

workload vanilla vLLM nnsight eager nnsight taps (CUDA graphs) interp-engine vllm interp-engine vllm-static vLLM-Lens vanilla vLLM 0.20.2 TransformerLens batched
generate 210 40 205 41 181 42 209 ✗
generate, 8 concurrent 671 303 1,091 309 874 312 673 ✗
capture 1 layer, every step · 38 202 41 179 39 · ✗
capture every layer, every step · 35 200 34 148 33 · ✗
capture 1 layer, 8 concurrent · 280 1,023 304 863 279 · ✗
additive steering, 1 layer · 38 201 41 180 36 · ✗
logit lens every step · 38 188 34 99 35 · ✗
linear probe every step · 38 200 40 179 36 · ✗
zero one attention head every step · 38 202 ✗ ✗ ✗ · ✗
override the sampled token every step · 38 202 ✗ ✗ ✗ · ✗
one forward over 512 tokens, capture 1 layer 31 ms 46 ms 43 ms 36 ms 34 ms 37 ms 29 ms 62 ms
sweep: 1024 × 1 token, capture 1 layer, per request 0.44 s 1.36 s 1.27 s · · 0.82 s 0.44 s 2.81 s
sweep: 1024 × 1 token, capture 1 layer, edit() once · 0.71 s 0.66 s · · ✗ · ✗