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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21667
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    INDEX
    Explanations

    phrases related to causing harm or death

    oai_token-act-pair · gpt-3.5-turbo

    references to killing or violent actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.76
    Cola
    -0.76
    oday
    -0.73
    ĸļ
    -0.73
    ORY
    -0.73
     Failure
    -0.67
    DragonMagazine
    -0.65
     Municip
    -0.65
    fty
    -0.65
    wcsstore
    -0.63
    POSITIVE LOGITS
    joy
    1.03
     spree
    0.92
    switch
    0.86
    mails
    0.85
     off
    0.81
     civilians
    0.80
    ously
    0.76
     whales
    0.75
    mong
    0.75
    lords
    0.75
    Activations Density 0.059%

    No Known Activations