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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26275
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MODEL
0-mlp-sm
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Explanations
mentions of various programs or initiatives
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/0-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.0.hook_mlp_out
Hook Layer
0
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
156
+0.27
1.6%
376
+0.16
1.0%
77
+0.13
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
77
+0.27
0.03
262
+0.16
0.03
445
+0.13
0.02
Negative Logits
ĥ½
-4.23
¥
-3.63
§
-3.61
ĨĴ
-3.60
¼
-3.43
↵↵
-3.39
↵
-3.39
<|outofrange|>
-3.39
↵
-3.39
-3.39
POSITIVE LOGITS
imeter
1.91
ue
1.85
arc
1.66
iac
1.65
ic
1.63
phase
1.51
mic
1.51
illar
1.51
ante
1.49
lamp
1.48
Act
ivations
Density 0.303%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations