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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. 1-RES-JB
    6. 13579
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    Explanations

    various commands or prompts within a digital interface

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various digital tools and platforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hement
    -0.96
    ĸļ
    -0.90
     mathemat
    -0.88
     tremend
    -0.81
    ername
    -0.80
     agre
    -0.79
     citiz
    -0.75
    xual
    -0.72
     oun
    -0.72
     undermin
    -0.71
    POSITIVE LOGITS
    Recommended
    0.73
    Synopsis
    0.72
    ItemThumbnailImage
    0.71
    References
    0.71
    CLA
    0.70
    Solution
    0.69
    ................................................................
    0.69
    Books
    0.67
    ALT
    0.67
    OVA
    0.67
    Activations Density 1.084%

    No Known Activations