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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
24111
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MODEL
2-mlp-sm
Source/SAE
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Explanations
references to medical examinations and procedures related to vision and eye health
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
156
+0.32
1.9%
169
+0.14
0.8%
243
+0.13
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
243
+0.32
0.15
317
+0.14
0.12
412
+0.13
0.12
Negative Logits
·¸
-3.43
³
-3.20
©
-3.07
ĵ
-3.02
Ļ
-2.98
¤
-2.93
±
-2.93
ĥ½
-2.91
·
-2.90
°
-2.77
POSITIVE LOGITS
.“
1.67
through
1.62
,[@
1.60
.[@
1.60
(£
1.47
als
1.44
,[
1.43
via
1.43
]],
1.39
spans
1.38
Act
ivations
Density 3.772%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations