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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
10-RES_POST_32K-OAI
26933
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MODEL
10-res_post_32k-oai
Source/SAE
INDEX
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Explanations
proper nouns related to specific people, places, or organizations
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Interpretable Score
Intrusion Detection
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
559
+0.12
0.5%
289
+0.11
0.5%
314
+0.09
0.4%
Correlated Neurons
Index
P. Corr.
Cos Sim.
659
+0.12
0.01
503
+0.11
0.01
232
+0.09
0.01
Negative Logits
hower
-0.86
terday
-0.72
ffen
-0.68
croft
-0.64
roy
-0.62
BIP
-0.62
Mub
-0.61
enegger
-0.61
Franch
-0.58
ÄŁ
-0.57
POSITIVE LOGITS
ı
1.50
ģ
1.43
Ħ
1.43
Ī
1.43
į
1.39
ĩ
1.35
ħ
1.33
Ģ
1.31
ĥ
1.25
ļ
1.18
Act
ivations
Density 0.027%
Test
Steer
Stacked
Snippet
Full
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No Known Activations