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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26819
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MODEL
0-mlp-sm
Source/SAE
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Explanations
references to academic papers or documents, particularly related to research and publications
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/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
358
+0.13
0.8%
111
+0.12
0.7%
310
+0.11
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
111
+0.13
0.01
219
+0.12
0.01
360
+0.11
0.01
Negative Logits
ľĵ
-2.47
¿½
-2.46
ľ
-2.36
©
-2.28
ĥ
-2.27
¬
-2.22
¨
-2.21
Ĺ
-2.19
§
-2.18
µ
-2.12
POSITIVE LOGITS
etica
2.05
ERTY
2.03
wn
1.84
buffer
1.78
fonts
1.74
regn
1.71
LED
1.67
processor
1.67
ets
1.66
gren
1.63
Act
ivations
Density 0.007%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations