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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 15078
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    Explanations

    statistical data points or percentages that are specific numbers or have a numeric value

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical points, particularly in the context of polls or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gee
    -0.73
    rology
    -0.72
    ctors
    -0.71
    rodu
    -0.69
    OOL
    -0.68
    cling
    -0.68
    details
    -0.66
    lict
    -0.66
    ourt
    -0.66
    ework
    -0.64
    POSITIVE LOGITS
     apiece
    0.90
     difference
    0.69
     blank
    0.67
     increments
    0.67
     margin
    0.67
     (+
    0.66
    hift
    0.66
     deduction
    0.66
     (-
    0.66
     (~
    0.64
    Activations Density 0.018%

    No Known Activations