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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
27945
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MODEL
0-mlp-sm
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Explanations
the phrase "at all" 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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Neuron Alignment
Index
Value
% of L₁
495
+0.14
0.7%
477
+0.13
0.7%
132
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
69
+0.14
0.12
426
+0.13
0.11
480
+0.12
0.10
Negative Logits
↵↵
-3.28
č↵
-3.28
↵
-3.28
-3.28
↵
-3.28
↵
-3.28
↵
-3.28
<|outofrange|>
-3.28
-3.28
<|outofrange|>
-3.28
POSITIVE LOGITS
lag
1.66
eon
1.62
osph
1.48
amy
1.48
watson
1.45
hops
1.43
arts
1.43
esty
1.43
adier
1.42
respect
1.41
Act
ivations
Density 0.257%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations