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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 11030
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    oai_token-act-pair · gpt-3.5-turbo

    dialogue and quotations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     unsus
    -0.81
     autonom
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     privat
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     holdings
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     authorised
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     coerc
    -0.77
     predec
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     nude
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     explicitly
    -0.76
     censored
    -0.76
    POSITIVE LOGITS
     Hopefully
    1.45
     Obviously
    1.38
     Guys
    1.35
    Hopefully
    1.29
    Obviously
    1.28
    Coach
    1.25
     Whoever
    1.19
     Everybody
    1.17
    Playing
    1.17
    Everybody
    1.16
    Activations Density 0.207%

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