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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
30319
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MODEL
0-mlp-sm
Source/SAE
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Explanations
expressions of agreement
oai_token-act-pair · gpt-4o-mini
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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
+0.16
0.9%
94
+0.12
0.7%
139
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
94
+0.16
0.03
39
+0.12
0.03
339
+0.11
0.02
Negative Logits
]>
-1.71
commute
-1.66
just
-1.61
therefore
-1.53
opic
-1.49
cale
-1.47
CRE
-1.45
*(
-1.43
OOK
-1.41
$$\
-1.39
POSITIVE LOGITS
<|outofrange|>
5.44
↵↵↵
5.44
↵
5.44
↵
5.44
↵
5.44
↵
5.44
↵ ↵
5.44
↵
5.44
5.44
<|outofrange|>
5.44
Act
ivations
Density 0.073%
Stacked
Snippet
Full
Show Breaks
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No Known Activations