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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
13746
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MODEL
4-res-sm
Source/SAE
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Explanations
elements related to data handling and processing in code
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
+0.12
0.7%
491
+0.10
0.5%
41
+0.10
0.5%
Correlated Neurons
Index
P. Corr.
Cos Sim.
210
+0.12
-0.01
203
+0.10
0.03
30
+0.10
0.01
Negative Logits
ÂĹ
-1.78
)[@
-1.77
`:
-1.74
,--
-1.72
-
-1.71
)](#
-1.66
:"
-1.63
âĢķ
-1.59
:--
-1.57
([
-1.55
POSITIVE LOGITS
);
2.05
His
1.74
his
1.57
backward
1.53
\]\].
1.47
him
1.45
faculty
1.42
He
1.41
</
1.38
his
1.36
Act
ivations
Density 0.720%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations