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    3. Julius Han · Gated SAE for Llama3-8B-Instruct
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    Explanations

    player performance metrics in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    Juliushanhanhan/llama-3-8b-it-res/blocks.25.hook_resid_post
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    gated
    Context Size
    1,024
    Dataset
    Juliushanhanhan/openwebtext-1b-llama3-tokenized-cxt-1024
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    neau
    -0.15
    ixel
    -0.15
    atoire
    -0.14
     ump
    -0.14
    æ¿
    -0.14
    æij
    -0.14
     bowl
    -0.13
    anka
    -0.13
    ombre
    -0.13
     NBA
    -0.13
    POSITIVE LOGITS
     MLS
    0.29
    MLS
    0.23
     soccer
    0.20
     goals
    0.20
     Soccer
    0.18
     loan
    0.18
     goal
    0.18
     attacking
    0.17
     ++)↵
    0.17
     XI
    0.17
    Activations Density 0.062%

    No Known Activations