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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
10160
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MODEL
4-res-sm
Source/SAE
INDEX
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Explanations
questions about the feasibility or possibility of various scenarios or actions
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
397
+0.15
0.8%
499
+0.10
0.6%
505
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
117
+0.15
0.03
15
+0.10
0.03
390
+0.10
0.03
Negative Logits
Ĩ
-4.67
«
-4.47
¼
-4.44
ĥ½
-4.38
»¿
-4.32
ĩ
-4.31
·
-4.30
ĥ
-4.29
·¸
-4.26
į
-4.25
POSITIVE LOGITS
to
2.00
otherwise
1.95
bie
1.72
otherwise
1.59
using
1.53
opter
1.49
alternatively
1.48
else
1.47
psin
1.46
to
1.46
Act
ivations
Density 0.133%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations