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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. 8-RES-JB
    6. 15475
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    Explanations

    dates written in numerical form

    oai_token-act-pair · gpt-3.5-turbo

    numerical data 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
     contrace
    -0.71
    ilic
    -0.64
    iage
    -0.64
    rolet
    -0.63
    vati
    -0.62
    perty
    -0.61
    ainer
    -0.60
     Kessler
    -0.60
     spread
    -0.60
    isphere
    -0.59
    POSITIVE LOGITS
     SHARES
    1.02
     Minutes
    0.89
    nd
    0.88
     mins
    0.81
    ÃĹ
    0.80
    rd
    0.79
    bp
    0.79
     hrs
    0.78
     Months
    0.78
    dB
    0.77
    Activations Density 0.142%

    No Known Activations