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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
25617
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0-mlp-sm
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oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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Intrusion Detection
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
247
+0.15
0.8%
290
+0.13
0.8%
403
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
290
+0.15
0.04
499
+0.13
0.04
247
+0.12
0.04
Negative Logits
rely
-2.03
ushing
-1.58
uses
-1.58
ounds
-1.53
rogens
-1.46
late
-1.45
ACT
-1.44
describe
-1.42
use
-1.39
remia
-1.39
POSITIVE LOGITS
º
3.80
ļ
3.76
°
3.68
ģ
3.58
Ĥ
3.53
Ķ
3.39
ı
3.34
Ŀ
3.34
Ľ
3.29
¡
3.29
Act
ivations
Density 0.049%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations