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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. 21901
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    INDEX
    Explanations

    references to original versions or originals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "original"

    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
    orney
    -0.74
    robe
    -0.72
    risome
    -0.70
    rogens
    -0.69
    opping
    -0.69
    walk
    -0.69
    abad
    -0.68
    =-=-=-=-=-=-=-=-
    -0.68
    rom
    -0.65
    ammy
    -0.64
    POSITIVE LOGITS
    ITY
    0.93
     incarnation
    0.89
    ity
    0.88
     batch
    0.79
    Filename
    0.77
     impetus
    0.77
    ãĥīãĥ©ãĤ´ãĥ³
    0.76
    isations
    0.75
     trilogy
    0.75
    istar
    0.71
    Activations Density 0.016%

    No Known Activations