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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 832
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    Explanations

    references to the crime of rape

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rape and related discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.86
    uchin
    -0.85
     Solitaire
    -0.74
    ormons
    -0.74
    ocular
    -0.72
    peror
    -0.71
     dilig
    -0.70
    OTAL
    -0.67
    rious
    -0.66
    ixir
    -0.65
    POSITIVE LOGITS
     rape
    1.12
     Rape
    1.04
     raped
    0.90
    quez
    0.89
    borg
    0.89
    rape
    0.87
     rapes
    0.84
     victims
    0.83
     raping
    0.82
    Sexual
    0.78
    Activations Density 0.039%

    No Known Activations