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Redwood Research
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8
194
Causal Scrubbing: a method for rigorously testing interpretability hypotheses [Redwood Research]
Ω
LawrenceC
,
Adrià Garriga-alonso
,
Nicholas Goldowsky-Dill
,
ryan_greenblatt
,
jenny
,
Ansh Radhakrishnan
,
Buck
,
Nate Thomas
1y
Ω
29
5
134
Apply to the Redwood Research Mechanistic Interpretability Experiment (REMIX), a research program in Berkeley
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maxnadeau
,
Xander Davies
,
Buck
,
Nate Thomas
1y
Ω
14
4
138
Takeaways from our robust injury classifier project [Redwood Research]
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dmz
1y
Ω
11
4
80
Benchmarks for Detecting Measurement Tampering [Redwood Research]
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ryan_greenblatt
,
Fabien Roger
3mo
Ω
10
3
145
Redwood Research’s current project
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Buck
2y
Ω
29
3
48
Redwood's Technique-Focused Epistemic Strategy
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adamShimi
2y
Ω
1
3
16
AXRP Episode 17 - Training for Very High Reliability with Daniel Ziegler
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DanielFilan
1y
Ω
0
2
142
High-stakes alignment via adversarial training [Redwood Research report]
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dmz
,
LawrenceC
,
Nate Thomas
2y
Ω
29
2
114
Why I'm excited about Redwood Research's current project
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paulfchristiano
2y
Ω
6
2
40
Some common confusion about induction heads
Alexandre Variengien
8mo
4
2
13
[Linkpost] Critiques of Redwood Research
Akash
8mo
2
1
96
Some Lessons Learned from Studying Indirect Object Identification in GPT-2 small
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KevinRoWang
,
Alexandre Variengien
,
Arthur Conmy
,
Buck
,
jsteinhardt
1y
Ω
7
1
87
Practical Pitfalls of Causal Scrubbing
Ω
Jérémy Scheurer
,
Phil3
,
tony
,
jacquesthibs
,
David Lindner
8mo
Ω
17
1
56
We're Redwood Research, we do applied alignment research, AMA
Ω
Nate Thomas
2y
Ω
2
1
50
Help out Redwood Research’s interpretability team by finding heuristics implemented by GPT-2 small
Haoxing Du
,
Buck
1y
11