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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. 6-RES-JB
    6. 16177
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    INDEX
    Explanations

    numbers combined with specific keywords related to details such as financial values, dimensions, and limits

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, especially related to measurement or specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    veyard
    -0.83
    creen
    -0.81
    vet
    -0.79
    vern
    -0.75
    akening
    -0.67
     attendant
    -0.67
    imei
    -0.66
    ppa
    -0.62
    hunt
    -0.61
     shape
    -0.61
    POSITIVE LOGITS
    %-
    0.86
    nm
    0.80
    %
    0.79
    625
    0.78
     Thieves
    0.74
    %.
    0.70
     acres
    0.70
     percent
    0.69
    dfx
    0.68
    40
    0.68
    Activations Density 0.049%

    No Known Activations