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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 24-LLAMASCOPE-RES-32K
    11. 20112
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    Explanations

    instances of notable football players and their achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÑĥÑĢа
    -0.15
    apo
    -0.15
    rup
    -0.15
    ocado
    -0.14
    tridge
    -0.14
     Dans
    -0.14
    eti
    -0.14
    .EventQueue
    -0.14
     Championship
    -0.14
    uby
    -0.14
    POSITIVE LOGITS
     Lionel
    0.26
     Real
    0.25
    .realm
    0.22
     Ney
    0.20
    Real
    0.20
     Manchester
    0.20
     PSG
    0.19
     Bayern
    0.19
     Madrid
    0.19
     Messi
    0.19
    Activations Density 0.113%

    No Known Activations