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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
8-RES_POST_32K-OAI
7266
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MODEL
8-res_post_32k-oai
Source/SAE
INDEX
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Explanations
punctuation and formatting elements
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 @ 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
140
+0.11
0.5%
210
+0.11
0.5%
318
+0.11
0.5%
Correlated Neurons
Index
P. Corr.
Cos Sim.
153
+0.11
0.03
373
+0.11
-0.03
627
+0.11
0.01
Negative Logits
Sim
-0.81
ioxide
-0.79
obin
-0.78
OC
-0.78
Schne
-0.77
Circ
-0.76
Sim
-0.76
circ
-0.76
Astro
-0.74
Cran
-0.73
POSITIVE LOGITS
50
1.31
50
1.20
Fifty
1.12
51
1.06
ifty
1.04
49
1.01
51
1.01
49
0.97
fifty
0.93
Vill
0.91
Act
ivations
Density 0.642%
Test
Steer
Stacked
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Full
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