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Under Peer Review · Attention SAE Research Paper
GPT2-Small
Attention Out
9-ATT-KK
13951
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MODEL
9-att-kk
Source/SAE
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Explanations
quantitative data related to transportation and energy metrics
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 @ 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
<iframe src="https://www.neuronpedia.org/gpt2-small/9-att-kk/13951?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/9-att-kk/13951?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Head Attr Weights
0:
0.05
1:
0.02
2:
0.04
3:
0.15
4:
0.02
5:
0.07
6:
0.10
7:
0.03
8:
0.03
9:
0.08
10:
0.05
11:
0.30
Negative Logits
—-
-3.09
.—
-3.07
…."
-2.86
.–
-2.83
(@
-2.73
….
-2.66
(&
-2.59
.--
-2.57
pic
-2.52
—"
-2.46
POSITIVE LOGITS
20439
3.10
\)
2.88
".[
2.76
000
2.62
''.
2.61
$,
2.57
$.
2.55
],
2.49
(£
2.36
000
2.35
Act
ivations
Density 0.018%
Test
Steer
Stacked
Snippet
Full
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