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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
10-RES_POST_32K-OAI
32281
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MODEL
10-res_post_32k-oai
Source/SAE
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Explanations
specific instances of notable names and entities within a context
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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https://www.neuronpedia.org/gpt2-small/10-res_post_32k-oai/32281?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
21
+0.11
0.5%
373
+0.10
0.5%
295
+0.10
0.5%
Correlated Neurons
Index
P. Corr.
Cos Sim.
192
+0.11
0.04
107
+0.10
0.05
711
+0.10
0.03
Negative Logits
cffff
-0.79
utics
-0.77
reddits
-0.74
norm
-0.72
pse
-0.71
umi
-0.70
*/(
-0.70
recy
-0.68
itton
-0.66
ignty
-0.66
POSITIVE LOGITS
-
0.93
_
0.70
-
0.70
âĢij
0.69
+
0.61
+
0.57
_{
0.55
ÙĴ
0.55
slee
0.55
Span
0.54
Act
ivations
Density 0.322%
Test
Steer
Stacked
Snippet
Full
Show Breaks
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No Known Activations