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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. 10322
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    INDEX
    Explanations

    phrases related to sequels, such as "sequel to" and "writing a sequel to," across a variety of contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sequels in various forms, including sequels to films, series, and other media

    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
    Not in Any Lists

    No Comments

    Negative Logits
    inen
    -0.71
    mberg
    -0.65
    ©¶æ
    -0.64
    ãģį
    -0.64
    yahoo
    -0.63
    owler
    -0.60
     Pacers
    -0.60
    _>
    -0.58
     Tornado
    -0.58
    uchi
    -0.58
    POSITIVE LOGITS
     thereto
    1.23
     trilogy
    0.93
     to
    0.81
     Trilogy
    0.78
    xual
    0.73
    ilogy
    0.71
    arios
    0.71
    iment
    0.70
    hesis
    0.70
     installment
    0.69
    Activations Density 0.088%

    No Known Activations