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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. 8780
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    INDEX
    Explanations

    comparisons and measurements between different entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating comparisons or contrasts

    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
    ANCE
    -0.76
    hardt
    -0.73
    iband
    -0.72
    shire
    -0.67
    Bad
    -0.66
    Premium
    -0.65
    */(
    -0.65
    arna
    -0.64
    assian
    -0.64
    colo
    -0.62
    POSITIVE LOGITS
     usual
    0.93
     ours
    0.81
     previous
    0.81
     traditional
    0.74
     those
    0.74
     other
    0.73
     actual
    0.71
     customary
    0.69
     peers
    0.69
     comparable
    0.68
    Activations Density 0.062%

    No Known Activations