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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. 4-RES-JB
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    Explanations

    distances expressed in kilometers

    oai_token-act-pair · gpt-3.5-turbo

    references to distances measured in kilometers

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

    No Comments

    Negative Logits
    idth
    -0.74
    fly
    -0.73
    alter
    -0.72
    ulator
    -0.72
    minster
    -0.68
    udeb
    -0.68
    Ctrl
    -0.68
    apego
    -0.68
    estate
    -0.67
    Berry
    -0.67
    POSITIVE LOGITS
     kilometers
    1.13
     kilometres
    1.07
    poons
    0.82
     km
    0.81
     kilomet
    0.80
    imet
    0.78
     meters
    0.77
     metres
    0.74
    imeters
    0.73
     hectares
    0.71
    Activations Density 0.019%

    No Known Activations