cc: @davidpicard.bsky.social @davidbau.bsky.social @eugenevinitsky.bsky.social @chriswolfvision.bsky.social @nsaphra.bsky.social @ducha-aiki.bsky.social @parskatt.bsky.social @martin-r-oswald.bsky.social @ericzzj.bsky.social
cc: @davidpicard.bsky.social @davidbau.bsky.social @eugenevinitsky.bsky.social @chriswolfvision.bsky.social @nsaphra.bsky.social @ducha-aiki.bsky.social @parskatt.bsky.social @martin-r-oswald.bsky.social @ericzzj.bsky.social
who's overly excited discord / slack is responsible for this?
who's overly excited discord / slack is responsible for this?
Python logo on my gear, but I don't have scales or a slithery body."
x.com/voooooogel/s...
Python logo on my gear, but I don't have scales or a slithery body."
x.com/voooooogel/s...
arxiv.org/abs/2202.05262
1. to discover location of facts: at decisive token (eg Michael Jordan plays
2. edit facts via Rank-1 modifications (ROME)
arxiv.org/abs/2202.05262
1. to discover location of facts: at decisive token (eg Michael Jordan plays
2. edit facts via Rank-1 modifications (ROME)
pnp-diffusion.github.io
arxiv.org/abs/2211.12572
run two copies of model
A: DDIM inversion of source image
B: generation with target prompt
inject feature/attention maps from A into B during generation
pnp-diffusion.github.io
arxiv.org/abs/2211.12572
run two copies of model
A: DDIM inversion of source image
B: generation with target prompt
inject feature/attention maps from A into B during generation
arxiv.org/abs/2308.10248
ActAdd manipulates the residual stream using something like classifier free guidance: it adds the difference vector between activations for prompts with and without the target characteristic to the residual stream
arxiv.org/abs/2308.10248
ActAdd manipulates the residual stream using something like classifier free guidance: it adds the difference vector between activations for prompts with and without the target characteristic to the residual stream
interp things people think are particularly
practical? Have you used them in practice?
interp things people think are particularly
practical? Have you used them in practice?