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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. 19129
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    INDEX
    Explanations

    car brands, specifically focusing on Toyota

    oai_token-act-pair · gpt-3.5-turbo

    mentions of automobile brands and models

    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
    glers
    -0.82
    yip
    -0.81
    itud
    -0.79
    tale
    -0.78
    getic
    -0.77
    papers
    -0.75
    ydia
    -0.75
    arity
    -0.73
    chery
    -0.73
    MpServer
    -0.73
    POSITIVE LOGITS
     Motor
    1.22
     dealership
    1.13
    Benz
    0.95
     Cars
    0.95
     Motors
    0.95
     Benz
    0.93
     Motorsport
    0.89
     Daytona
    0.86
     chassis
    0.86
     sedan
    0.83
    Activations Density 0.053%

    No Known Activations