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Under Peer Review · Attention SAE Research Paper
GPT2-Small
Attention Out
9-ATT-KK
7951
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MODEL
9-att-kk
Source/SAE
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Explanations
references to personal experiences of trauma and resilience
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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
Show All
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IFrame
<iframe src="https://www.neuronpedia.org/gpt2-small/9-att-kk/7951?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/7951?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:
0.06
3:
0.04
4:
0.04
5:
0.04
6:
0.28
7:
0.05
8:
0.08
9:
0.21
10:
0.02
11:
0.05
Negative Logits
Barn
-4.32
Fitz
-4.14
Syd
-4.03
Texans
-3.98
Aust
-3.94
�醒
-3.92
Met
-3.91
Razor
-3.81
barn
-3.80
Morty
-3.78
POSITIVE LOGITS
Cho
9.10
Choi
8.59
Cho
8.29
Chou
6.27
cho
6.19
cho
6.13
CHO
5.76
CHO
5.40
Chung
4.09
vo
4.02
Act
ivations
Density 0.003%
Test
Steer
Stacked
Snippet
Full
Split DFA
Combine DFA
Show Breaks
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No Known Activations