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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. 2-RES-JB
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    Explanations

    names related to the Weinstein Company and the Weinstein scandal

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals associated with high-profile scandals and allegations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asper
    -0.81
    laus
    -0.76
    nesota
    -0.74
    odic
    -0.74
     sovere
    -0.73
    rist
    -0.73
    istically
    -0.72
    phis
    -0.71
    pron
    -0.70
    istant
    -0.68
    POSITIVE LOGITS
     Weinstein
    1.42
     Bros
    0.82
    enthal
    0.81
     raped
    0.75
     Hoffman
    0.73
    wald
    0.71
    ©¶æ¥µ
    0.71
    gren
    0.70
     allegations
    0.70
    baum
    0.68
    Activations Density 0.008%

    No Known Activations