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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
10300
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MODEL
4-res-sm
Source/SAE
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Explanations
numerical values and units of measurement
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__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
+0.35
2.2%
156
+0.23
1.5%
337
+0.22
1.4%
Correlated Neurons
Index
P. Corr.
Cos Sim.
21
+0.35
0.03
337
+0.23
0.10
186
+0.22
0.07
Negative Logits
↵
-5.72
<|outofrange|>
-5.72
-5.72
<|outofrange|>
-5.72
↵
-5.72
<|outofrange|>
-5.72
-5.72
-5.72
↵
-5.72
↵
-5.72
POSITIVE LOGITS
but
1.77
but
1.59
than
1.50
although
1.42
,^[@
1.40
lacks
1.40
though
1.39
whereas
1.39
except
1.36
meets
1.32
Act
ivations
Density 3.330%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations