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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
14420
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MODEL
4-res-sm
Source/SAE
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oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Check If Interpretable
Top Features by Cosine Similarity
Configuration
ctigges/pythia-70m-deduped__res-sm_processed/4-res-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.4.hook_resid_post
Hook Layer
4
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
21
+0.41
2.6%
255
+0.12
0.8%
450
+0.12
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
21
+0.41
0.08
450
+0.12
0.03
255
+0.12
-0.03
Negative Logits
-5.04
↵
-5.04
↵
-5.04
↵
-5.04
↵↵
-5.04
↵↵
-5.04
↵
-5.04
-5.04
↵
-5.04
<|outofrange|>
-5.04
POSITIVE LOGITS
heading
1.43
{"
1.38
indicated
1.36
headline
1.35
="'
1.32
='
1.29
ylase
1.23
ERROR
1.23
{}{
1.21
="{
1.20
Act
ivations
Density 1.789%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations