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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. 0-RES-JB
    6. 22942
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    INDEX
    Explanations

    references to specific car brands, particularly Nissan and Chevrolet

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     psy
    -0.73
     protocol
    -0.69
    aun
    -0.67
     Protocol
    -0.66
    vere
    -0.65
    itu
    -0.64
    ienne
    -0.64
     proxies
    -0.64
     healing
    -0.64
     wards
    -0.64
    POSITIVE LOGITS
     Nissan
    2.92
     Toyota
    2.84
     Mazda
    2.79
     Volkswagen
    2.77
     Chevrolet
    2.77
     BMW
    2.69
     Porsche
    2.64
     Chrysler
    2.64
     Hyundai
    2.61
     Volvo
    2.54
    Activations Density 0.046%

    No Known Activations