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Under Peer Review · Attention SAE Research Paper
GPT2-Small
Attention Out
9-ATT-KK
20527
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MODEL
9-att-kk
Source/SAE
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Explanations
numerical sequences and structured data representations
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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IFrame
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Link
https://www.neuronpedia.org/gpt2-small/9-att-kk/20527?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Head Attr Weights
0:
0.06
1:
0.05
2:
0.06
3:
0.05
4:
0.05
5:
0.05
6:
0.10
7:
0.05
8:
0.03
9:
0.07
10:
0.03
11:
0.36
Negative Logits
–
-3.60
…..
-3.39
….
-3.38
.–
-3.19
Kass
-3.03
…."
-3.02
…"
-3.01
…"
-2.97
…)
-2.94
…
-2.92
POSITIVE LOGITS
\
7.86
\
7.11
}\
5.68
)\
5.68
\/
5.42
\)
5.41
\'
5.29
"\
5.24
\.
5.17
\(
5.11
Act
ivations
Density 0.016%
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