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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 23560
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    INDEX
    Explanations

    comparisons of things in terms of quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating changes in conditions or situations over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Miko
    -0.66
     Channel
    -0.65
    ERY
    -0.65
     Gorge
    -0.59
     WWF
    -0.57
    Yep
    -0.57
     largeDownload
    -0.57
    istries
    -0.56
     Katy
    -0.55
    leted
    -0.55
    POSITIVE LOGITS
    enth
    0.72
    gain
    0.72
     ever
    0.71
    pees
    0.70
    athom
    0.70
    nir
    0.69
    cells
    0.68
    inx
    0.67
     Magicka
    0.67
    ":[
    0.66
    Activations Density 0.126%

    No Known Activations