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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
25481
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MODEL
0-mlp-sm
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Explanations
the conjunction "and" used in various contexts
oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
claude-4-5-haiku
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Intrusion Detection
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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https://www.neuronpedia.org/pythia-70m-deduped/0-mlp-sm/25481?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
433
+0.13
0.7%
321
+0.12
0.7%
422
+0.12
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
494
+0.13
0.45
209
+0.12
0.29
402
+0.12
0.26
Negative Logits
¿½
-2.86
´
-2.82
®
-2.79
µ
-2.54
Ĭ
-2.53
·¸
-2.41
ĥ
-2.38
¶
-2.38
°
-2.36
»
-2.35
POSITIVE LOGITS
alone
1.79
ious
1.52
infiltr
1.47
ring
1.44
vereign
1.44
HN
1.42
rypt
1.41
ling
1.40
vable
1.36
rip
1.35
Act
ivations
Density 1.562%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations