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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
10-RES_POST_32K-OAI
29055
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MODEL
10-res_post_32k-oai
Source/SAE
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statistical data or performance metrics related to basketball players
oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
claude-4-5-haiku
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Interpretable Score
Intrusion Detection
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
411
+0.12
0.5%
203
+0.11
0.5%
626
+0.11
0.5%
Correlated Neurons
Index
P. Corr.
Cos Sim.
479
+0.12
0.02
417
+0.11
0.06
669
+0.11
0.08
Negative Logits
Sv
-0.81
Spark
-0.78
EG
-0.78
Aus
-0.77
iris
-0.76
Sig
-0.75
esp
-0.75
Keane
-0.75
AIR
-0.74
OIL
-0.74
POSITIVE LOGITS
Mon
2.50
Mon
2.34
mon
2.09
mon
2.03
MON
1.87
MON
1.63
Mono
1.60
mono
1.42
Monk
1.40
Monroe
1.35
Act
ivations
Density 5.846%
Test
Steer
Stacked
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Full
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