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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    references to distances measured 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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Harvey
    -0.67
    aple
    -0.67
     Hampton
    -0.66
     Sandy
    -0.66
     Birch
    -0.65
    aroo
    -0.64
     nut
    -0.64
     Scare
    -0.64
     Scot
    -0.64
     pres
    -0.63
    POSITIVE LOGITS
     kilometers
    3.46
     kilometres
    2.96
     kilomet
    2.42
     km
    2.27
    km
    2.12
     centimeters
    2.02
    kil
    1.79
     meters
    1.77
     kilograms
    1.67
     hectares
    1.63
    Activations Density 0.017%

    No Known Activations