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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. 5582
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    INDEX
    Explanations

    mentions or descriptions of small size or individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to small or miniature items

    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
    chwitz
    -0.83
    yrinth
    -0.79
     largeDownload
    -0.78
    inelli
    -0.73
    ilee
    -0.73
    atche
    -0.73
    lain
    -0.71
    ophen
    -0.69
    orthy
    -0.69
    ————————————————
    -0.68
    POSITIVE LOGITS
    tiny
    0.96
    pox
    0.95
     bit
    0.88
     fraction
    0.87
     tiny
    0.83
     handful
    0.82
     (<
    0.81
     fractions
    0.80
     slice
    0.78
     tad
    0.77
    Activations Density 0.021%

    No Known Activations