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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. 8563
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    INDEX
    Explanations

    positive percentage changes or numbers in finance and economics contexts

    oai_token-act-pair · gpt-3.5-turbo

    statistical data and numerical information related to economic performance

    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
    byter
    -0.67
     dedication
    -0.63
    £ı
    -0.60
    aviour
    -0.59
     silence
    -0.58
     Divinity
    -0.58
    usra
    -0.57
    iatric
    -0.57
     preparations
    -0.57
     successor
    -0.56
    POSITIVE LOGITS
    %,
    0.79
    %.
    0.75
    aciously
    0.74
     Curve
    0.73
    %;
    0.70
    fold
    0.69
    against
    0.69
    %)
    0.68
    %
    0.68
     (-
    0.67
    Activations Density 0.261%

    No Known Activations