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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. 3-RES-JB
    6. 22108
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    INDEX
    Explanations

    phrases related to plant growth and cultivation

    oai_token-act-pair · gpt-3.5-turbo

    references to the process of growing plants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uyomi
    -0.83
    psey
    -0.75
    phas
    -0.75
    ĪĴ
    -0.72
    dinand
    -0.71
    universal
    -0.71
    endment
    -0.71
    oute
    -0.70
    ensional
    -0.70
    ictional
    -0.70
    POSITIVE LOGITS
     Plants
    0.97
     plants
    0.89
     indoors
    0.88
     gardens
    0.84
     growers
    0.82
    iaries
    0.81
     vines
    0.81
    lings
    0.80
     Farms
    0.80
     nursery
    0.79
    Activations Density 0.038%

    No Known Activations