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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
25561
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MODEL
0-mlp-sm
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Explanations
expressions of respect and admiration for individuals or groups
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
+0.15
0.8%
274
+0.11
0.6%
510
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
384
+0.15
0.02
167
+0.11
0.02
232
+0.10
0.01
Negative Logits
·
-3.16
º
-2.84
´
-2.47
Īĺ
-2.45
Ľ
-2.39
¯
-2.37
¹
-2.33
§
-2.32
«
-2.27
Ĺ
-2.22
POSITIVE LOGITS
ably
2.32
ively
1.64
iative
1.53
ibly
1.46
ÃŃvel
1.45
able
1.41
ible
1.40
ivat
1.39
alia
1.39
ive
1.38
Act
ivations
Density 0.024%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations