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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26305
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MODEL
0-mlp-sm
Source/SAE
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Explanations
references to friendships
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
376
+0.19
1.1%
156
+0.17
1.0%
270
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
270
+0.19
0.01
268
+0.17
0.01
185
+0.12
0.01
Negative Logits
ĵ
-3.42
©
-3.41
ı
-3.35
§
-3.30
¯
-3.24
ĩ
-3.06
¸
-3.05
Ĺ
-2.95
Ĵ
-2.91
ľ
-2.91
POSITIVE LOGITS
manship
2.08
forge
1.82
hip
1.72
hof
1.72
hold
1.72
sheet
1.71
tree
1.71
pieces
1.70
fficients
1.70
burg
1.70
Act
ivations
Density 0.009%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations