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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 9-LLAMASCOPE-RES-32K
    11. 7453
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    structures and attributes related to performance and preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 9-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L9R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    avier
    -0.18
    ãĥĥãĤ«ãĥ¼
    -0.17
    ä»
    -0.15
    legalArgumentException
    -0.15
    pek
    -0.15
    eder
    -0.14
    иÑĤов
    -0.14
    isson
    -0.14
    errupt
    -0.14
    witter
    -0.14
    POSITIVE LOGITS
    apan
    0.16
    EIF
    0.16
    spa
    0.14
     Buckley
    0.14
    è³
    0.14
    /pre
    0.14
    deb
    0.14
    MLS
    0.14
    anik
    0.14
     tela
    0.13
    Activations Density 0.689%

    No Known Activations