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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
30263
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MODEL
0-mlp-sm
Source/SAE
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Explanations
references to the concept of insufficiency or lack of evidence
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
+0.22
1.2%
314
+0.15
0.8%
148
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
314
+0.22
0.01
387
+0.15
0.01
344
+0.12
0.01
Negative Logits
sible
-1.73
TypeDef
-1.73
ucht
-1.63
derer
-1.58
oche
-1.51
sson
-1.42
onson
-1.39
Sheet
-1.37
Func
-1.36
ttp
-1.35
POSITIVE LOGITS
Ł
3.72
ŀ
3.38
Ĭ
3.19
ij
3.17
İ
3.11
¯
3.04
ļ
3.02
Īĺ
2.99
ľĵ
2.98
¨
2.97
Act
ivations
Density 0.022%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations