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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
26601
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MODEL
2-mlp-sm
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Explanations
terms and concepts related to machine learning and its applications in various contexts
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
290
+0.12
0.7%
325
+0.12
0.7%
259
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
243
+0.12
0.13
335
+0.12
0.11
325
+0.12
0.08
Negative Logits
psis
-1.55
both
-1.44
pone
-1.43
pless
-1.42
ively
-1.39
nier
-1.35
each
-1.34
aves
-1.34
careers
-1.33
iday
-1.28
POSITIVE LOGITS
¯
2.60
¢
2.48
Ļª
2.41
¬
2.36
Ļ
2.31
¶
2.30
µ
2.22
Ĺ
2.21
ļ
2.20
ij
2.17
Act
ivations
Density 3.122%
Stacked
Snippet
Full
Show Raw Tokens
Show Formatted
Show Breaks
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No Known Activations