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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
10-RES_POST_32K-OAI
29139
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MODEL
10-res_post_32k-oai
Source/SAE
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Explanations
programming-related elements and structures, particularly those pertaining to algorithms and data types
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
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
449
+0.11
0.5%
516
+0.11
0.5%
341
+0.10
0.4%
Correlated Neurons
Index
P. Corr.
Cos Sim.
479
+0.11
0.03
375
+0.11
0.04
669
+0.10
0.07
Negative Logits
NRS
-0.77
PARK
-0.75
polic
-0.72
¥µ
-0.71
fet
-0.71
etts
-0.70
TPP
-0.69
oby
-0.69
Ry
-0.68
»
-0.68
POSITIVE LOGITS
Al
2.51
Al
2.32
al
1.83
AL
1.80
Alb
1.51
Alm
1.38
Alph
1.33
al
1.32
Ala
1.28
AL
1.27
Act
ivations
Density 3.908%
Test
Steer
Stacked
Snippet
Full
Show Breaks
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No Known Activations