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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 16-LLAMASCOPE-RES-32K
    11. 8810
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    Explanations

    references to competitive losses and challenges in sports events

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Frank
    -0.16
    azer
    -0.16
    ugas
    -0.13
    aze
    -0.13
    oso
    -0.13
     achievements
    -0.13
     accomplishments
    -0.13
    uan
    -0.13
    ات
    -0.13
     cont
    -0.13
    POSITIVE LOGITS
    loss
    0.22
     loss
    0.19
     LOSS
    0.17
     Loss
    0.17
     defeat
    0.17
     Lose
    0.16
    -loss
    0.16
    Loss
    0.16
     doz
    0.15
    æķĹ
    0.15
    Activations Density 0.106%

    No Known Activations