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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
14459
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MODEL
4-res-sm
Source/SAE
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Explanations
technical specifications of computer hardware components
oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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Intrusion Detection
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
348
+0.18
1.0%
466
+0.17
0.9%
25
+0.14
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
189
+0.18
0.08
162
+0.17
0.03
211
+0.14
0.07
Negative Logits
Ĭ
-4.03
ĥ½
-3.77
ij
-3.75
¯
-3.73
³
-3.70
¸
-3.69
ī
-3.68
ĥ
-3.67
Į
-3.65
Ĥ¬
-3.56
POSITIVE LOGITS
edia
2.03
Fs
2.00
OD
1.88
s
1.88
SEC
1.86
ERS
1.84
OSS
1.83
ERTY
1.82
ATA
1.81
ESSION
1.81
Act
ivations
Density 0.741%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations