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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. 7567
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    INDEX
    Explanations

    numerical values written with the number 40

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values, particularly related to measurements and statistics

    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
    veyard
    -0.85
    vet
    -0.78
    creen
    -0.77
    vern
    -0.73
    akening
    -0.70
    ppa
    -0.67
    fecture
    -0.64
    phis
    -0.64
    forces
    -0.63
    imei
    -0.63
    POSITIVE LOGITS
    nm
    0.86
    625
    0.82
    %-
    0.78
    %
    0.72
    dfx
    0.71
    40
    0.70
     Thieves
    0.70
    rities
    0.68
     acres
    0.68
    345
    0.67
    Activations Density 0.051%

    No Known Activations