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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28791
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MODEL
0-mlp-sm
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Explanations
terms related to reconstruction and corruption
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
115
+0.16
0.9%
334
+0.15
0.8%
507
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
148
+0.16
0.02
507
+0.15
0.03
115
+0.12
0.03
Negative Logits
forth
-1.59
ctor
-1.57
zc
-1.53
fun
-1.48
ction
-1.46
cz
-1.44
floor
-1.44
quo
-1.44
Register
-1.42
zen
-1.41
POSITIVE LOGITS
ing
3.36
s
3.00
Ģ
2.62
ij
2.55
Ļª
2.52
İ
2.45
©
2.44
Ŀ
2.38
ŀ
2.38
½
2.36
Act
ivations
Density 0.091%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations