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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. 10-RES-JB
    11. 5443
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    Explanations

    phrases related to causing harm or death to someone or something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of killing or harm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cola
    -0.80
    ĸļ
    -0.78
    BuyableInstoreAndOnline
    -0.72
    oday
    -0.72
    ORY
    -0.72
    DragonMagazine
    -0.68
     guiActiveUnfocused
    -0.67
     Failure
    -0.65
    soType
    -0.64
    é¾įåĸļ士
    -0.64
    POSITIVE LOGITS
     spree
    1.00
    joy
    0.98
    switch
    0.90
     off
    0.89
     innocent
    0.85
     civilians
    0.85
     whales
    0.79
    mails
    0.78
     innoc
    0.76
     zombies
    0.76
    Activations Density 0.066%

    No Known Activations