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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
25937
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MODEL
2-mlp-sm
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Explanations
terms related to cardiovascular and dental health
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/2-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.2.hook_mlp_out
Hook Layer
2
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
156
+0.40
2.4%
181
+0.14
0.8%
23
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
303
+0.40
0.06
491
+0.14
0.05
181
+0.13
0.07
Negative Logits
↵
-4.89
↵↵
-4.89
↵
-4.89
<|outofrange|>
-4.89
↵
-4.89
↵
-4.89
č↵
-4.89
↵
-4.89
↵
-4.89
-4.89
POSITIVE LOGITS
(_
1.45
↵
1.39
Darwin
1.38
↵
1.32
laid
1.31
filling
1.31
commenced
1.29
Unix
1.29
hered
1.29
renew
1.29
Act
ivations
Density 0.505%
Stacked
Snippet
Full
Show Raw Tokens
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Show Breaks
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No Known Activations