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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
25674
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MODEL
0-mlp-sm
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Explanations
references to utility functions or classes
oai_token-act-pair · gpt-4o-mini
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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
376
+0.18
1.0%
392
+0.18
1.0%
156
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
392
+0.18
0.03
379
+0.18
0.02
301
+0.13
0.01
Negative Logits
ľĵ
-4.06
ĥ
-3.44
¿½
-3.25
ľ
-3.18
ĵ
-3.15
§
-3.06
ı
-3.03
ħ
-3.03
ij
-3.01
¬
-2.90
POSITIVE LOGITS
bow
1.53
enstein
1.50
eval
1.47
ière
1.46
lay
1.45
opot
1.43
pread
1.42
astom
1.42
had
1.42
cript
1.41
Act
ivations
Density 0.020%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations