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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
10-RES_POST_32K-OAI
27594
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MODEL
10-res_post_32k-oai
Source/SAE
INDEX
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Explanations
verbs or actions that indicate progression or movement in a narrative context
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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
617
+0.09
0.4%
620
+0.09
0.4%
552
+0.09
0.4%
Correlated Neurons
Index
P. Corr.
Cos Sim.
665
+0.09
0.12
274
+0.09
0.07
402
+0.09
0.08
Negative Logits
ciation
-0.77
vernment
-0.66
ctions
-0.63
distingu
-0.60
Ĭ±
-0.59
Ĥİ
-0.58
Ĥª
-0.57
cers
-0.55
nard
-0.54
女
-0.54
POSITIVE LOGITS
up
2.36
up
2.00
Up
1.88
Up
1.76
ups
1.75
UP
1.60
ups
1.54
UP
1.54
upt
1.15
Ups
1.07
Act
ivations
Density 4.044%
Test
Steer
Stacked
Snippet
Full
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No Known Activations