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Under Peer Review · Attention SAE Research Paper
GPT2-Small
Attention Out
5-ATT-KK
7193
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MODEL
5-att-kk
Source/SAE
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Explanations
variations of proper nouns, particularly names and titles
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 @ 5-att-kk
Configuration
ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L5_Hcat_z_lr1.20e-03_l11.00e+00_ds49152_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt
How To Load
Prompts (Dashboard)
36,864 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
49,152
Data Type
float32
Hook Name
blocks.5.attn.hook_z
Hook Layer
5
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Activation Function
relu
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IFrame
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Link
https://www.neuronpedia.org/gpt2-small/5-att-kk/7193?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Head Attr Weights
0:
0.12
1:
0.25
2:
0.07
3:
0.05
4:
0.02
5:
0.16
6:
0.07
7:
0.03
8:
0.05
9:
0.07
10:
0.03
11:
0.03
Negative Logits
ograp
-1.84
ographed
-1.50
ivated
-1.42
retty
-1.42
ABS
-1.38
chel
-1.33
*/(
-1.30
eatures
-1.28
pherd
-1.23
model
-1.22
POSITIVE LOGITS
�
2.16
�
2.12
��
2.01
�
1.68
tein
1.65
ْ
1.63
�
1.62
�
1.62
��
1.61
�
1.57
Act
ivations
Density 0.007%
Test
Steer
Stacked
Snippet
Full
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Combine DFA
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