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Under Peer Review · Attention SAE Research Paper
GPT2-Small
Attention Out
9-ATT-KK
14885
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MODEL
9-att-kk
Source/SAE
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Explanations
phrases related to accusations and responses in a discussion or narrative context
oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 9-att-kk
Configuration
ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L9_Hcat_z_lr1.20e-03_l11.20e+00_ds24576_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
24,576
Data Type
float32
Hook Name
blocks.9.attn.hook_z
Hook Layer
9
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Activation Function
relu
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Link
https://www.neuronpedia.org/gpt2-small/9-att-kk/14885?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Head Attr Weights
0:
0.07
1:
0.01
2:
0.07
3:
0.03
4:
0.06
5:
0.03
6:
0.28
7:
0.05
8:
0.08
9:
0.21
10:
0.02
11:
0.02
Negative Logits
yrinth
-4.06
emet
-3.89
Jelly
-3.48
Floyd
-3.41
fract
-3.27
Copper
-3.25
wire
-3.17
copper
-3.16
Diver
-3.16
Cop
-3.15
POSITIVE LOGITS
Sa
9.84
Sa
9.80
sa
5.83
sa
5.04
Ma
4.62
SA
4.33
Ma
4.30
ta
4.18
Za
4.07
Alt
4.02
Act
ivations
Density 0.012%
Test
Steer
Stacked
Snippet
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