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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
1-RES-SM
29158
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MODEL
1-res-sm
Source/SAE
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Explanations
components related to data input and output processes in programming
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/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
217
+0.13
0.7%
434
+0.12
0.7%
433
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
193
+0.13
0.03
224
+0.12
0.03
301
+0.11
0.03
Negative Logits
ı
-3.03
ĩ
-2.80
¹
-2.76
ĥ½
-2.74
ĺ
-2.69
³
-2.65
Ł
-2.64
ĸ
-2.63
Ĺ
-2.57
ķ
-2.57
POSITIVE LOGITS
maid
1.60
naire
1.55
Utils
1.53
Fargo
1.52
vie
1.45
wright
1.40
ocortic
1.40
builder
1.38
ERTY
1.37
pool
1.33
Act
ivations
Density 0.185%
Stacked
Snippet
Full
Show Breaks
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No Known Activations