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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
1-RES-SM
28497
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MODEL
1-res-sm
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oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
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
107
+0.14
0.8%
26
+0.13
0.7%
244
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
157
+0.14
0.04
388
+0.13
0.04
26
+0.12
0.01
Negative Logits
together
-1.54
unity
-1.52
odes
-1.51
...]
-1.50
console
-1.49
giving
-1.48
realise
-1.42
ones
-1.42
successes
-1.41
waking
-1.39
POSITIVE LOGITS
↵
2.17
↵ ↵
2.17
↵
2.17
↵
2.17
2.17
↵
2.17
↵
2.17
↵
2.17
↵
2.17
↵
2.17
Act
ivations
Density 0.271%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations