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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
10-RES_POST_32K-OAI
28179
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MODEL
10-res_post_32k-oai
Source/SAE
INDEX
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Explanations
references to psychological assessments and related terminology
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
373
+0.17
0.8%
604
+0.12
0.6%
594
+0.09
0.4%
Correlated Neurons
Index
P. Corr.
Cos Sim.
314
+0.17
-0.01
160
+0.12
0.03
604
+0.09
0.02
Negative Logits
BALL
-0.78
Flag
-0.74
PAL
-0.68
FIN
-0.66
26
-0.66
BART
-0.65
HAM
-0.64
Prin
-0.62
HAM
-0.62
Daylight
-0.61
POSITIVE LOGITS
iii
1.27
iv
1.19
iv
1.11
iii
1.08
v
0.92
ii
0.89
jj
0.86
xxx
0.83
iov
0.81
liv
0.81
Act
ivations
Density 0.191%
Test
Steer
Stacked
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Full
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