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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
26512
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2-mlp-sm
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Explanations
terms related to experimental responses and measurements in scientific studies
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/2-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.2.hook_mlp_out
Hook Layer
2
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
263
+0.13
0.7%
169
+0.13
0.7%
172
+0.12
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
120
+0.13
0.08
208
+0.13
0.05
168
+0.12
0.06
Negative Logits
olves
-1.81
soever
-1.80
versus
-1.51
ples
-1.50
hou
-1.40
yrs
-1.38
ensively
-1.37
ensitive
-1.33
hua
-1.33
note
-1.33
POSITIVE LOGITS
Ń
2.05
ĵ
1.88
½
1.84
¬
1.75
«
1.74
³
1.70
İ
1.64
»
1.58
¶
1.56
¹
1.56
Act
ivations
Density 0.646%
Stacked
Snippet
Full
Show Raw Tokens
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Show Breaks
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No Known Activations