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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
2-RES-SM
10673
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MODEL
2-res-sm
Source/SAE
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Explanations
critical details and significant events in narratives
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
422
+0.17
1.0%
95
+0.13
0.8%
12
+0.13
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
95
+0.17
0.12
407
+0.13
0.12
412
+0.13
0.16
Negative Logits
IJ
-2.84
«
-2.65
ĺ
-2.51
ľ
-2.48
§
-2.48
ĻĤ
-2.46
©
-2.45
¥
-2.44
°
-2.42
ħ
-2.42
POSITIVE LOGITS
doors
1.58
boards
1.57
decks
1.47
doors
1.45
aper
1.41
parl
1.36
GET
1.35
Facility
1.35
Rd
1.34
Tools
1.33
Act
ivations
Density 5.584%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations