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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
10-RES_POST_32K-OAI
27178
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MODEL
10-res_post_32k-oai
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Explanations
instances of numerical data and their formatting
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
206
+0.11
0.5%
522
+0.10
0.5%
737
+0.10
0.5%
Correlated Neurons
Index
P. Corr.
Cos Sim.
341
+0.11
0.03
355
+0.10
0.03
17
+0.10
0.03
Negative Logits
Tablet
-0.83
enegger
-0.77
ר
-0.73
ippy
-0.73
doll
-0.71
emp
-0.71
texting
-0.70
sych
-0.69
Sheep
-0.69
zzo
-0.69
POSITIVE LOGITS
17
1.59
17
1.56
1800
1.11
173
1.08
174
1.07
179
1.05
179
1.05
173
1.04
174
1.04
175
1.03
Act
ivations
Density 1.621%
Test
Steer
Stacked
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Full
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