Trace

Can Rager

individual · LinkedIn · Manifund

Technical AI safety research

Received
$25,000
from 1 funders
Grants
1
Funders
1
Years active
2024

Grants over time

$0$10K$20K$30K2024

Biggest funders

Adam Gleave$25,000100%1

Reviews

Adam Gleave · Manifund · full post · Dec 30, 2023

Automatic circuit discovery on sparse autoencoded features, Dec 2023

Read more ▾

Main points in favor of this grant

  • Promising research idea; "obvious next step" but not one that anyone else seems to be working on.
  • Can Rager has relevant research experience.
  • David Bau's lab is a recognized name in the field and a competent collaborator.

Donor's main reservations

  • Limited track record from Can.
  • Research project is high-risk, high-reward.

Process for deciding amount

  • $6000-$9000/month seems to be around the going rate for junior independent research based on previous LTFF grants. I went on the higher end as: (a) stipend may need to pay for office expenses not just living expenses; (b) Can intends to be based in the Bay Area for some of this time, a high cost-of-living location.

Conflicts of interest

Can may spend some of his stipend on a desk & membership in FAR Labs, an AI safety co-working space administered by the non-profit FAR AI that I am the founder and CEO of. This is not a condition of this grant, and I have encouraged Can to explore other office options as well. I do not directly benefit financially from additional members at FAR Labs, nor would one member materially change FAR AI's financial position. No other conflicts of interest.

Grants received

Date ↓FunderViaAmountCauseSourcePurpose
Jan 16, 2024Adam GleaveManifund$25,000InterpretabilitymanifundAutomatic circuit discovery on sparse autoencoded features