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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
10-RES_POST_32K-OAI
27345
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10-res_post_32k-oai
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numerical identifiers or data references
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
40
+0.14
0.6%
633
+0.12
0.5%
641
+0.11
0.5%
Correlated Neurons
Index
P. Corr.
Cos Sim.
107
+0.14
0.06
442
+0.12
0.06
153
+0.11
0.04
Negative Logits
BN
-0.79
é¾
-0.78
ylene
-0.77
omatic
-0.75
373
-0.72
ril
-0.72
mammal
-0.71
Bog
-0.71
pi
-0.70
Mub
-0.69
POSITIVE LOGITS
14
1.47
14
1.42
15
1.35
15
1.33
150
1.22
149
1.18
1500
1.17
148
1.14
152
1.13
150
1.11
Act
ivations
Density 1.668%
Test
Steer
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