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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. 11-RES-JB
    11. 17511
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    Explanations

    phrases indicating a specific action or step that needs to be taken

    oai_token-act-pair · gpt-3.5-turbo

    phrases that specify conditions or requirements for achieving a goal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    raped
    -0.61
    sheet
    -0.58
    reens
    -0.57
    milo
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    archives
    -0.57
    inav
    -0.56
    soever
    -0.52
    wordpress
    -0.52
    erno
    -0.51
    uesday
    -0.51
    POSITIVE LOGITS
     to
    1.06
     thereto
    0.79
     for
    0.76
     accommodate
    0.71
    to
    0.69
    ×Ļ
    0.67
     facilitate
    0.66
     avoid
    0.66
     ensure
    0.65
     fulfill
    0.64
    Activations Density 0.038%

    No Known Activations