Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 48 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 1111363 (C4 (Web Text))
Max Activating Token Index: 263
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Text #1
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Data Index: 1271402 (C4 (Web Text))
Max Activating Token Index: 658
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Text #2
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Data Index: 611479 (C4 (Web Text))
Max Activating Token Index: 1011
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Text #3
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Data Index: 537201 (C4 (Web Text))
Max Activating Token Index: 588
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Text #4
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Data Index: 1221044 (C4 (Web Text))
Max Activating Token Index: 534
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Text #5
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Data Index: 112737 (C4 (Web Text))
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Text #6
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Data Index: 731923 (C4 (Web Text))
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Text #7
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Data Index: 1217922 (C4 (Web Text))
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Text #8
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Data Index: 1173018 (C4 (Web Text))
Max Activating Token Index: 754
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Text #9
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Data Index: 741512 (C4 (Web Text))
Max Activating Token Index: 442
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Text #10
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Data Index: 101776 (C4 (Web Text))
Max Activating Token Index: 1011
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Text #11
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Data Index: 909960 (C4 (Web Text))
Max Activating Token Index: 444
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Text #12
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Data Index: 470465 (C4 (Web Text))
Max Activating Token Index: 612
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Text #13
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Data Index: 1103490 (C4 (Web Text))
Max Activating Token Index: 40
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Text #14
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Data Index: 1136222 (C4 (Web Text))
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Text #15
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Data Index: 735270 (C4 (Web Text))
Max Activating Token Index: 705
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Text #16
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Data Index: 964086 (C4 (Web Text))
Max Activating Token Index: 1021
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Text #17
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Data Index: 1077308 (C4 (Web Text))
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Text #18
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Data Index: 551314 (C4 (Web Text))
Max Activating Token Index: 418
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Text #19
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Max Act: 0.0323. Min Act: -0.0005
Data Index: 467393 (C4 (Web Text))
Max Activating Token Index: 216
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