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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. 9-RES-JB
    11. 9919
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    INDEX
    Explanations

    mentions of a specific period of time

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "time"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olor
    -0.85
    DNA
    -0.71
    uffy
    -0.65
    atl
    -0.62
    heon
    -0.61
    products
    -0.61
    avorite
    -0.60
    ives
    -0.60
    ombo
    -0.59
    orno
    -0.59
    POSITIVE LOGITS
     round
    0.91
     around
    0.86
     frame
    0.74
     Around
    0.73
    imester
    0.72
    quickShipAvailable
    0.68
    abouts
    0.67
     period
    0.66
     Constantin
    0.66
    geist
    0.66
    Activations Density 0.034%

    No Known Activations