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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 16-LLAMASCOPE-RES-32K
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    references to quantity, specifically in the context of beverages and food items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 16-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L16R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    irut
    -0.15
    []={
    -0.15
    placeholders
    -0.14
    ked
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    incerely
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    ãģ£ãģ±
    -0.14
     types
    -0.14
    ä¸Ģç§į
    -0.14
    iky
    -0.14
    endez
    -0.13
    POSITIVE LOGITS
     Richardson
    0.17
    浩
    0.15
    laughter
    0.15
    orgia
    0.15
    appa
    0.15
    rzy
    0.14
    ="__
    0.14
    ören
    0.14
    åĬĥ
    0.14
    매
    0.14
    Activations Density 0.044%

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