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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29953
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MODEL
0-mlp-sm
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Explanations
references to relationships or relational structures
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
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
376
+0.15
0.9%
348
+0.12
0.7%
320
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
320
+0.15
0.02
264
+0.12
0.02
232
+0.12
0.02
Negative Logits
·¸
-3.11
Ĥ
-3.03
Ĺ
-2.94
»¿
-2.92
ľ
-2.92
¿
-2.90
Ħ
-2.90
¾
-2.87
Ĥ¬
-2.81
Ĭ
-2.79
POSITIVE LOGITS
ató
2.38
forge
2.09
thouse
1.84
entin
1.68
bench
1.64
issue
1.62
bard
1.61
igi
1.59
charts
1.57
kok
1.56
Act
ivations
Density 0.018%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations