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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 30-LLAMASCOPE-RES-32K
    11. 22988
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    Explanations

    references to scheduling and timing-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 30-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Stark
    -0.17
    akov
    -0.15
     Salvation
    -0.15
    rippling
    -0.15
    545
    -0.14
    Silver
    -0.14
    foy
    -0.14
     Silver
    -0.14
    246
    -0.14
    رسÛĮ
    -0.14
    POSITIVE LOGITS
     schedule
    0.84
     Schedule
    0.69
    schedule
    0.69
     schedules
    0.68
     sched
    0.65
    Schedule
    0.63
    _schedule
    0.61
    chedule
    0.60
     scheduling
    0.57
    .schedule
    0.57
    Activations Density 0.098%

    No Known Activations