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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
10425
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MODEL
4-res-sm
Source/SAE
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Explanations
the brand "Knoll" in various contexts
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
21
+0.18
1.0%
369
+0.13
0.7%
342
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
369
+0.18
0.01
350
+0.13
0.02
279
+0.11
0.02
Negative Logits
ged
-1.66
duc
-1.59
liness
-1.57
mention
-1.50
ging
-1.47
sis
-1.47
inary
-1.46
lement
-1.41
eration
-1.41
nement
-1.41
POSITIVE LOGITS
Į
3.00
ŀ
2.76
¤
2.73
§
2.66
ī
2.65
Ĺ
2.61
ĵ
2.60
ij
2.58
Ļ
2.58
ª
2.56
Act
ivations
Density 0.146%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations