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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
8-RES_POST_32K-OAI
5113
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MODEL
8-res_post_32k-oai
Source/SAE
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Explanations
sequences related to specific game or event scorelines
oai_token-act-pair · gpt-4o-mini
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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 @ 8-res_post_32k-oai
Configuration
jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_8.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.8.hook_resid_post
Hook Layer
8
Architecture
standard
Context Size
64
Dataset
Skylion007/openwebtext
Activation Function
topk
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Neuron Alignment
Index
Value
% of L₁
365
+0.10
0.5%
668
+0.09
0.4%
442
+0.09
0.4%
Correlated Neurons
Index
P. Corr.
Cos Sim.
326
+0.10
0.02
429
+0.09
0.01
4
+0.09
0.02
Negative Logits
netflix
-1.03
Redditor
-0.81
RTX
-0.77
CMS
-0.71
lihood
-0.68
indal
-0.67
Hats
-0.66
NCT
-0.64
Dare
-0.64
Cum
-0.64
POSITIVE LOGITS
8
0.96
6
0.96
7
0.95
3
0.93
4
0.91
«
0.90
ķ
0.90
2
0.90
1
0.90
5
0.89
Act
ivations
Density 0.132%
Test
Steer
Stacked
Snippet
Full
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