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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28618
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MODEL
0-mlp-sm
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Explanations
references to fixtures in programming or design contexts
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__mlp-sm_processed/0-mlp-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.0.hook_mlp_out
Hook Layer
0
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
413
+0.13
0.7%
392
+0.13
0.7%
156
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
392
+0.13
0.01
413
+0.13
0.01
178
+0.11
0.01
Negative Logits
§
-3.93
¦
-3.69
Ħ
-3.63
Ĵ
-3.60
ĻĤ
-3.58
´
-3.52
Īĺ
-3.48
ľĵ
-3.48
Ĩ
-3.40
Ĺ
-3.39
POSITIVE LOGITS
cript
1.93
peak
1.93
dorff
1.80
atory
1.76
erville
1.70
wagen
1.69
eful
1.69
erve
1.67
oft
1.66
"}](#
1.64
Act
ivations
Density 0.025%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations