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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28052
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MODEL
0-mlp-sm
Source/SAE
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Explanations
the presence of the word "port" in various contexts
oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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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
43
+0.11
0.6%
217
+0.11
0.6%
189
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
449
+0.11
0.02
43
+0.11
0.02
220
+0.10
0.02
Negative Logits
´
-2.20
¿
-2.20
Ĥ¬
-2.00
·¸
-1.98
Ļª
-1.89
ĺ
-1.89
³
-1.88
µ
-1.88
§
-1.87
¶
-1.86
POSITIVE LOGITS
folio
2.61
raits
2.06
ious
1.92
ions
1.90
boro
1.86
arium
1.85
ivist
1.79
’
1.77
ional
1.74
IVE
1.71
Act
ivations
Density 0.015%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations