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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 4-LLAMASCOPE-RES-32K
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    references to standards and quality levels in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 4-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L4R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    åĪ¶
    -0.17
    enson
    -0.15
     Dart
    -0.15
    .toCharArray
    -0.14
    _COMBO
    -0.14
    urtle
    -0.14
     кл
    -0.14
    ê´Ģ리ìŀIJ
    -0.14
    aspers
    -0.14
    ongo
    -0.14
    POSITIVE LOGITS
    -quality
    0.17
     quality
    0.17
     level
    0.17
    ueur
    0.15
    prung
    0.15
    iveau
    0.15
    .quality
    0.15
    zeug
    0.15
     Mor
    0.15
     standard
    0.15
    Activations Density 0.162%

    No Known Activations