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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
2-RES-SM
27922
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MODEL
2-res-sm
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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__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
186
+0.17
1.0%
63
+0.13
0.7%
360
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
360
+0.17
0.06
138
+0.13
0.08
63
+0.12
0.05
Negative Logits
respectively
-1.90
respectively
-1.77
etc
-1.73
aders
-1.66
.](
-1.52
.^[@
-1.52
.\[
-1.48
]];
-1.44
.*;
-1.43
`.
-1.42
POSITIVE LOGITS
↵ ↵
3.15
3.15
<|outofrange|>
3.15
č↵
3.15
3.15
↵
3.15
3.15
↵↵
3.15
č↵
3.15
<|outofrange|>
3.15
Act
ivations
Density 4.175%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations