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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
2-RES-SM
10675
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MODEL
2-res-sm
Source/SAE
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Explanations
data structures and parameters within structured data or coding contexts
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__res-sm_processed/2-res-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_resid_post
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
169
+0.13
0.8%
223
+0.13
0.8%
393
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
21
+0.13
0.03
175
+0.13
0.02
374
+0.13
0.02
Negative Logits
...](
-1.74
port
-1.68
]."
-1.65
ports
-1.64
miles
-1.54
.")
-1.54
.]
-1.53
formatter
-1.52
stream
-1.50
rying
-1.50
POSITIVE LOGITS
ľĵ
2.78
ĥ
2.71
´
2.68
ĥ½
2.64
ħ
2.62
¹
2.58
ĨĴ
2.57
ĸ´
2.54
°
2.54
IJ
2.50
Act
ivations
Density 0.261%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations