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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29206
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MODEL
0-mlp-sm
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Explanations
references to stages or phases in processes or narratives
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
156
+0.20
1.2%
376
+0.18
1.0%
209
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
209
+0.20
0.01
240
+0.18
0.01
168
+0.12
0.01
Negative Logits
©
-3.01
½
-2.85
ĵ
-2.82
Ń
-2.80
±
-2.80
Ŀ
-2.78
Ĵ
-2.69
§
-2.68
İ
-2.68
ķ
-2.67
POSITIVE LOGITS
heet
2.22
hell
2.12
arily
2.03
elle
2.02
creen
1.95
heets
1.91
burg
1.83
oon
1.71
aho
1.70
arity
1.63
Act
ivations
Density 0.036%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations