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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
1-RES-SM
24298
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MODEL
1-res-sm
Source/SAE
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Explanations
the word "are" in various contexts, indicating a focus on existence or quantity
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/1-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.1.hook_resid_post
Hook Layer
1
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
23
+0.30
1.8%
478
+0.17
1.0%
442
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
235
+0.30
0.05
442
+0.17
0.05
383
+0.12
0.04
Negative Logits
ł
-4.43
§
-4.18
»¿
-4.03
İ
-4.01
ĨĴ
-3.80
©
-3.79
Ļ
-3.79
ī
-3.68
¡
-3.64
¥
-3.60
POSITIVE LOGITS
hereby
1.65
gonna
1.59
also
1.58
two
1.47
zzo
1.47
itions
1.44
supposed
1.43
irs
1.43
wolf
1.42
uka
1.42
Act
ivations
Density 0.241%
Stacked
Snippet
Full
Show Breaks
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No Known Activations