Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 39 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0132. Min Act: -0.0005
Data Index: 77588 (C4 (Web Text))
Max Activating Token Index: 204
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Full Text #0
Text #1
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Max Act: 0.0118. Min Act: -0.0005
Data Index: 838415 (C4 (Web Text))
Max Activating Token Index: 645
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Full Text #1
Text #2
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Data Index: 236650 (C4 (Web Text))
Max Activating Token Index: 219
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Text #3
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Max Act: 0.0115. Min Act: -0.0005
Data Index: 91586 (C4 (Web Text))
Max Activating Token Index: 574
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Text #4
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Max Act: 0.0114. Min Act: -0.0005
Data Index: 1300411 (C4 (Web Text))
Max Activating Token Index: 710
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Text #5
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Data Index: 999460 (C4 (Web Text))
Max Activating Token Index: 303
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Text #6
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Data Index: 502648 (C4 (Web Text))
Max Activating Token Index: 461
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Text #7
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Data Index: 334656 (C4 (Web Text))
Max Activating Token Index: 1016
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Text #8
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Data Index: 1171138 (C4 (Web Text))
Max Activating Token Index: 585
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Text #9
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Data Index: 1001428 (C4 (Web Text))
Max Activating Token Index: 796
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Text #10
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Data Index: 756776 (C4 (Web Text))
Max Activating Token Index: 373
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Text #11
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Data Index: 1119335 (C4 (Web Text))
Max Activating Token Index: 411
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Text #12
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Data Index: 783245 (C4 (Web Text))
Max Activating Token Index: 666
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Text #13
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Data Index: 1347616 (C4 (Web Text))
Max Activating Token Index: 707
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Text #14
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Data Index: 402994 (C4 (Web Text))
Max Activating Token Index: 50
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Text #15
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Data Index: 1110138 (C4 (Web Text))
Max Activating Token Index: 449
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Text #16
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Max Act: 0.0104. Min Act: -0.0005
Data Index: 621924 (C4 (Web Text))
Max Activating Token Index: 245
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Text #17
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Max Act: 0.0106. Min Act: -0.0006
Data Index: 1023555 (C4 (Web Text))
Max Activating Token Index: 475
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Text #18
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Data Index: 1199708 (C4 (Web Text))
Max Activating Token Index: 226
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Text #19
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Max Act: 0.0105. Min Act: -0.0005
Data Index: 699019 (C4 (Web Text))
Max Activating Token Index: 445
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