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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. 5-RES-JB
    6. 10804
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    Explanations

    words related to a specific topic or entity, specifically "Yakupov"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific entities, particularly names and terms associated with conflict or violence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.88
    erer
    -0.69
    atcher
    -0.67
    s
    -0.66
    lections
    -0.65
    egg
    -0.64
    士
    -0.64
    smanship
    -0.63
    ascript
    -0.63
    erning
    -0.63
    POSITIVE LOGITS
    usha
    0.89
    veyard
    0.88
    ashtra
    0.87
    acly
    0.87
    izons
    0.85
    andon
    0.80
    nect
    0.80
    agall
    0.78
    oga
    0.77
    akh
    0.76
    Activations Density 0.038%

    No Known Activations