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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 23-LLAMASCOPE-RES-32K
    11. 2721
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    Explanations

    references to sports outcomes, particularly losses and competitive matches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 23-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L23R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    libft
    -0.18
    successfully
    -0.15
    autoload
    -0.15
    roke
    -0.15
    'gc
    -0.15
     Winner
    -0.14
    ulo
    -0.14
    HWND
    -0.13
    MLElement
    -0.13
    uga
    -0.13
    POSITIVE LOGITS
     loss
    0.40
     defeat
    0.37
     losses
    0.35
    loss
    0.35
     lose
    0.34
     losing
    0.34
     loses
    0.34
     Loss
    0.33
    æķĹ
    0.32
     lost
    0.32
    Activations Density 0.158%

    No Known Activations