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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
13528
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MODEL
4-res-sm
Source/SAE
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Explanations
structured programming constructs and syntax
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
413
+0.12
0.7%
16
+0.12
0.7%
261
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
67
+0.12
0.00
261
+0.12
0.03
16
+0.11
0.02
Negative Logits
áĢº
-1.37
Tak
-1.32
·
-1.31
ede
-1.30
¹
-1.30
Tak
-1.28
rows
-1.27
14514500
-1.23
eters
-1.22
¤
-1.21
POSITIVE LOGITS
L
4.40
L
3.59
l
3.19
lua
2.88
LR
2.83
LL
2.81
LS
2.75
LM
2.71
LR
2.69
LA
2.69
Act
ivations
Density 1.424%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations