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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
10-RES_POST_32K-OAI
31505
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MODEL
10-res_post_32k-oai
Source/SAE
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Explanations
mathematical or statistical notation, including variables and parameters
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
Comparing With
GPT2-SMALL @ 10-res_post_32k-oai
Configuration
jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_10.pt
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
32,768
Data Type
torch.float32
Hook Name
blocks.10.hook_resid_post
Hook Layer
10
Architecture
standard
Context Size
64
Dataset
Skylion007/openwebtext
Activation Function
topk
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Neuron Alignment
Index
Value
% of L₁
120
+0.10
0.5%
694
+0.10
0.4%
313
+0.09
0.4%
Correlated Neurons
Index
P. Corr.
Cos Sim.
326
+0.10
0.10
308
+0.10
0.03
738
+0.09
0.03
Negative Logits
odi
-0.78
amo
-0.77
odore
-0.74
Daly
-0.72
Ajax
-0.71
Tow
-0.70
Taj
-0.66
Toby
-0.63
Tex
-0.63
Aram
-0.62
POSITIVE LOGITS
5
1.66
5
1.44
Five
1.16
6
1.11
7
1.09
five
0.99
Fifth
0.96
Five
0.94
five
0.94
7
0.89
Act
ivations
Density 2.110%
Test
Steer
Stacked
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Full
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