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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
10-RES_POST_32K-OAI
27432
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MODEL
10-res_post_32k-oai
Source/SAE
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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
535
+0.11
0.5%
157
+0.10
0.5%
387
+0.10
0.5%
Correlated Neurons
Index
P. Corr.
Cos Sim.
430
+0.11
0.09
316
+0.10
0.07
442
+0.10
0.09
Negative Logits
301
-1.16
302
-1.11
280
-1.07
250
-1.06
275
-1.06
290
-1.06
270
-1.05
285
-1.04
240
-1.04
272
-1.03
POSITIVE LOGITS
12
1.05
11
1.03
13
1.02
16
0.99
14
0.97
15
0.93
10
0.91
17
0.91
18
0.87
8
0.86
Act
ivations
Density 0.825%
Test
Steer
Stacked
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