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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. 11610
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    INDEX
    Explanations

    dimensions and measurements in various physical forms

    oai_token-act-pair · gpt-3.5-turbo

    numerical specifications related to dimensions and measurements

    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
     behav
    -0.75
    vik
    -0.68
     Ellison
    -0.63
    LESS
    -0.63
    SSL
    -0.62
    FUL
    -0.61
     Bj
    -0.61
     Spiel
    -0.60
     Beir
    -0.60
     Sear
    -0.59
    POSITIVE LOGITS
    (-
    0.72
    pixel
    0.72
    illion
    0.70
     magnification
    0.69
    â̳
    0.69
    hedral
    0.68
    oxide
    0.68
    âĪĴ
    0.68
    00000
    0.68
     istg
    0.66
    Activations Density 0.089%

    No Known Activations