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Under Peer Review · Attention SAE Research Paper
GPT2-Small
Attention Out
9-ATT-KK
15636
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MODEL
9-att-kk
Source/SAE
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Explanations
references to teaching and learning
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 src="https://www.neuronpedia.org/gpt2-small/9-att-kk/15636?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/15636?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:
0.04
2:
0.07
3:
0.04
4:
0.05
5:
0.04
6:
0.23
7:
0.05
8:
0.07
9:
0.21
10:
0.03
11:
0.03
Negative Logits
Rust
-3.73
Mirage
-3.65
�
-3.53
mir
-3.52
IDA
-3.46
Babel
-3.39
Rust
-3.24
hood
-3.23
�
-3.22
Mazda
-3.22
POSITIVE LOGITS
Kle
7.71
Ple
7.52
Gle
6.43
Sle
5.31
Fle
5.02
ple
4.85
Fle
4.57
ele
4.34
Gre
4.16
Gel
4.03
Act
ivations
Density 0.001%
Test
Steer
Stacked
Snippet
Full
Split DFA
Combine DFA
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No Known Activations