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Posts tagged Redwood Research
5
97Causal Scrubbing: a method for rigorously testing interpretability hypotheses [Redwood Research]
Lawrence Chan, Adrià Garriga-Alonso, Nicholas Goldowsky-Dill, Ryan Greenblatt, Jenny Nitishinskaya, Ansh Radhakrishnan, Buck Shlegeris, Nate Thomas
6mo
24
0
59Apply to the Redwood Research Mechanistic Interpretability Experiment (REMIX), a research program in Berkeley
maxnadeau, Xander Davies, Buck Shlegeris, Nate Thomas
7mo
5
0
57Redwood Research’s current project
Buck Shlegeris
2y
18
1
55Takeaways from our robust injury classifier project [Redwood Research]
dmz
9mo
6
1
27Redwood's Technique-Focused Epistemic Strategy
Adam Shimi
1y
1
2
10AXRP Episode 17 - Training for Very High Reliability with Daniel Ziegler
DanielFilan
9mo
0
0
65High-stakes alignment via adversarial training [Redwood Research report]
dmz, Lawrence Chan, Nate Thomas
1y
10
0
55Why I'm excited about Redwood Research's current project
Paul Christiano
2y
3
0
47Some Lessons Learned from Studying Indirect Object Identification in GPT-2 small
KevinRoWang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, Jacob Steinhardt
7mo
2
1
40Practical Pitfalls of Causal Scrubbing
Jérémy Scheurer, Phil3, tony, Jacques Thibodeau, David Lindner
2mo
9
0
21We're Redwood Research, we do applied alignment research, AMA
Nate Thomas
2y
3
1
22Causal scrubbing: results on induction heads
Lawrence Chan, Adrià Garriga-Alonso, Nicholas Goldowsky-Dill, Ryan Greenblatt, Tao Lin, Jenny Nitishinskaya, Ansh Radhakrishnan, Buck Shlegeris, Nate Thomas
6mo
0
1
20Causal scrubbing: results on a paren balance checker
Lawrence Chan, Adrià Garriga-Alonso, Nicholas Goldowsky-Dill, Ryan Greenblatt, Tao Lin, Jenny Nitishinskaya, Ansh Radhakrishnan, Buck Shlegeris, Nate Thomas
6mo
2
1
11Causal scrubbing: Appendix
Lawrence Chan, Adrià Garriga-Alonso, Nicholas Goldowsky-Dill, Ryan Greenblatt, Jenny Nitishinskaya, Ansh Radhakrishnan, Buck Shlegeris, Nate Thomas
6mo
1