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Interpretability (ML & AI)
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Applied to
Why I stopped being into basin broadness
by
Gunnar_Zarncke
14h
ago
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Applied to
Improving Dictionary Learning with Gated Sparse Autoencoders
by
Neel Nanda
1d
ago
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Applied to
ProLU: A Nonlinearity for Sparse Autoencoders
by
Noa Nabeshima
3d
ago
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Applied to
How to use and interpret activation patching
by
StefanHex
5d
ago
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Applied to
Past Tense Features
by
Can
6d
ago
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Applied to
[Full Post] Progress Update #1 from the GDM Mech Interp Team
by
Neel Nanda
7d
ago
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Applied to
[Summary] Progress Update #1 from the GDM Mech Interp Team
by
Neel Nanda
7d
ago
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Applied to
Discriminating Behaviorally Identical Classifiers: a model problem for applying interpretability to scalable oversight
by
Raemon
8d
ago
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Applied to
Transformers Represent Belief State Geometry in their Residual Stream
by
Adam Shai
10d
ago
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Applied to
Experiments with an alternative method to promote sparsity in sparse autoencoders
by
Eoin Farrell
11d
ago
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Applied to
Barcoding LLM Training Data Subsets. Anyone trying this for interpretability?
by
right..enough?
14d
ago
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Applied to
Scaling Laws and Superposition
by
Pavan Katta
16d
ago
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Applied to
Gated Attention Blocks: Preliminary Progress toward Removing Attention Head Superposition
by
Marius Hobbhahn
18d
ago
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Applied to
Normalizing Sparse Autoencoders
by
Fengyuan Hu
19d
ago
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Applied to
DSLT 0. Distilling Singular Learning Theory
by
crayhippo
20d
ago
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Applied to
Ophiology (or, how the Mamba architecture works)
by
Danielle Ensign
23d
ago