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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. 5-RES-JB
    6. 17742
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    INDEX
    Explanations

    percentages and numerical values, specifically focusing on percentages, probabilities, and quantities

    oai_token-act-pair · gpt-3.5-turbo

    statistical data or numerical information regarding percentages and probabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wagen
    -0.64
    CVE
    -0.63
     pseud
    -0.62
    Merit
    -0.60
    RAW
    -0.60
    Queue
    -0.60
     AFL
    -0.57
    Ͻ
    -0.55
    virt
    -0.54
     Orient
    -0.54
    POSITIVE LOGITS
    lycer
    0.81
    pees
    0.80
    ngth
    0.77
    ãĥĻ
    0.75
    amic
    0.73
    oway
    0.71
    chini
    0.68
    opy
    0.65
    ogether
    0.65
    assium
    0.65
    Activations Density 0.248%

    No Known Activations