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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    references to sexual assault

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "rape" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uchin
    -0.93
    ocular
    -0.79
    quickShipAvailable
    -0.77
     Solitaire
    -0.75
     Moroc
    -0.74
    bid
    -0.73
    olin
    -0.73
    */(
    -0.72
    avez
    -0.71
    alle
    -0.70
    POSITIVE LOGITS
     rape
    1.40
     Rape
    1.19
     raped
    1.12
     rapes
    1.07
    rape
    0.99
     raping
    0.97
    Sexual
    0.97
     rapists
    0.96
    quez
    0.84
    borg
    0.80
    Activations Density 0.012%

    No Known Activations