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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29791
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MODEL
0-mlp-sm
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oai_token-act-pair · gpt-4o-mini
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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
478
+0.16
0.9%
350
+0.14
0.8%
487
+0.13
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
273
+0.16
0.05
42
+0.14
0.05
487
+0.13
0.05
Negative Logits
anic
-1.92
asting
-1.76
**
-1.69
izing
-1.69
iser
-1.65
\*
-1.61
)](
-1.53
(\#
-1.52
.](
-1.52
![](
-1.49
POSITIVE LOGITS
¼
2.78
½
2.61
¹
2.46
·¸
2.40
·
2.27
ĵ
2.25
ĥ½
2.24
¸
2.21
º
2.17
±
2.16
Act
ivations
Density 0.360%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations