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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
27947
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MODEL
0-mlp-sm
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Explanations
phrases related to connections or interconnectivity in various contexts
oai_token-act-pair · gpt-4o-mini
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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
376
+0.12
0.7%
365
+0.11
0.7%
156
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
158
+0.12
0.01
232
+0.11
0.01
365
+0.10
0.01
Negative Logits
ĥ½
-2.86
¿
-2.54
Ĥ¬
-2.35
ľ
-2.18
¤
-2.07
ĩ
-2.06
Ľ
-2.04
·¸
-1.98
ĨĴ
-1.94
¦
-1.90
POSITIVE LOGITS
naire
2.16
ally
1.82
notes
1.77
als
1.75
pool
1.75
ist
1.75
ists
1.74
ÅĽci
1.69
castle
1.68
lens
1.67
Act
ivations
Density 0.021%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations