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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. 14455
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    INDEX
    Explanations

    statistical data and numeric representations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    percentages and numerical values next to corresponding words or phrases

    oai_token-act-pair · gpt-3.5-turbo
    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
    especially
    -0.72
    loo
    -0.71
    liquid
    -0.69
    unknown
    -0.69
    wered
    -0.65
     Liquid
    -0.64
    multipl
    -0.64
    lay
    -0.64
    lu
    -0.63
    coll
    -0.61
    POSITIVE LOGITS
    eenth
    0.88
     cents
    0.84
     percent
    0.79
    iffe
    0.75
     anymore
    0.75
     Eag
    0.75
     Grimm
    0.72
     feet
    0.69
     inches
    0.68
     spots
    0.67
    Activations Density 0.169%

    No Known Activations