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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
24067
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MODEL
2-mlp-sm
Source/SAE
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Explanations
numerical data and statistics related to medical studies
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
ctigges/pythia-70m-deduped__mlp-sm_processed/2-mlp-sm
How To Load
Prompts (Dashboard)
32,768 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
32,768
Data Type
torch.float32
Hook Name
blocks.2.hook_mlp_out
Hook Layer
2
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
156
+0.17
1.0%
104
+0.11
0.6%
367
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
367
+0.17
0.02
159
+0.11
0.02
402
+0.11
0.03
Negative Logits
«
-2.13
Ĥ
-2.08
-2.06
↵
-2.06
<|outofrange|>
-2.06
<|outofrange|>
-2.06
-2.06
↵
-2.06
↵↵
-2.06
↵
-2.06
POSITIVE LOGITS
ils
1.98
powers
1.56
heck
1.53
keit
1.48
pans
1.46
nel
1.45
poons
1.44
imals
1.42
ets
1.40
visions
1.39
Act
ivations
Density 0.186%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations