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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
13845
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MODEL
4-res-sm
Source/SAE
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Explanations
code-related terms and patterns related to data communication and object management
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__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
307
+0.29
1.7%
47
+0.14
0.8%
282
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
47
+0.29
0.09
240
+0.14
0.01
157
+0.10
0.09
Negative Logits
myself
-2.24
laughs
-1.86
atrix
-1.74
my
-1.72
III
-1.64
OVA
-1.59
ailand
-1.58
ARE
-1.57
chaft
-1.56
raint
-1.55
POSITIVE LOGITS
6.96
↵
6.96
<|outofrange|>
6.96
↵
6.96
<|outofrange|>
6.96
↵
6.96
6.96
↵
6.96
6.96
↵↵
6.96
Act
ivations
Density 1.835%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations