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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. 7-RES-JB
    11. 153
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    INDEX
    Explanations

    phrases related to dialogue attribution, specifically the phrases "'said the subject,'" "'told me,'" or similar constructions

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases that indicate speech or quotations from people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ©¶æ
    -0.82
    adra
    -0.80
    inent
    -0.79
    chnology
    -0.77
    wcs
    -0.77
    iage
    -0.75
    atown
    -0.75
    izen
    -0.72
    ction
    -0.70
    otin
    -0.67
    POSITIVE LOGITS
    said
    1.29
    ï¸ı
    0.78
    cause
    0.75
    sung
    0.75
    laugh
    0.75
    Said
    0.72
    sed
    0.72
    #$
    0.69
    she
    0.68
     said
    0.67
    Activations Density 0.210%

    No Known Activations