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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. 10-RES-JB
    11. 757
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    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical references or statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nai
    -0.83
    soDeliveryDate
    -0.79
    soType
    -0.77
    enz
    -0.73
    dayName
    -0.72
    ¯
    -0.72
    oris
    -0.71
    rolet
    -0.69
    hai
    -0.69
    iven
    -0.68
    POSITIVE LOGITS
     none
    1.04
     namely
    0.90
     only
    0.89
     few
    0.86
     there
    0.85
     unsurprisingly
    0.79
     fewer
    0.79
     including
    0.76
     seven
    0.76
     however
    0.75
    Activations Density 0.106%

    No Known Activations