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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 22-LLAMASCOPE-RES-32K
    11. 12589
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    Explanations

    key events and statistics related to sports matches, particularly focusing on penalties and overtime situations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    asal
    -0.15
    ecast
    -0.15
    osaur
    -0.15
     mau
    -0.15
    lescope
    -0.14
    ocate
    -0.14
    chwitz
    -0.13
    valuator
    -0.13
    ì²Ń
    -0.13
    irty
    -0.13
    POSITIVE LOGITS
     overtime
    0.33
     extra
    0.32
     OT
    0.28
     extras
    0.28
    -extra
    0.28
    vertime
    0.27
     penalties
    0.27
     EXTRA
    0.27
     sudden
    0.26
    extra
    0.26
    Activations Density 0.092%

    No Known Activations