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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. 3-RES-JB
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    Explanations

    mentions of the word "rape"

    oai_token-act-pair · gpt-3.5-turbo

    references to the topic of rape

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.82
    uchin
    -0.82
    ocular
    -0.73
     Solitaire
    -0.72
    OTAL
    -0.71
    peror
    -0.70
    ormons
    -0.68
    bid
    -0.67
    ITNESS
    -0.67
     dilig
    -0.66
    POSITIVE LOGITS
     rape
    1.31
     Rape
    1.15
     raped
    1.08
    rape
    1.02
     rapes
    1.00
     raping
    0.97
     rapists
    0.89
    Sexual
    0.87
    quez
    0.86
     victims
    0.85
    Activations Density 0.018%

    No Known Activations