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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 29-LLAMASCOPE-RES-32K
    11. 3896
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    Explanations

    references to various types of coat racks and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 29-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L29R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.29.hook_resid_post
    Hook Layer
    29
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amburger
    -0.15
    gün
    -0.15
    _BAND
    -0.15
    /Foundation
    -0.14
    ENCH
    -0.14
     lids
    -0.14
     dumpsters
    -0.14
    tridges
    -0.14
    AIT
    -0.13
    IGHL
    -0.13
    POSITIVE LOGITS
     hanging
    0.41
     hung
    0.40
     hooks
    0.37
     hang
    0.37
     hangs
    0.35
     Hang
    0.33
     hook
    0.32
    æĮĤ
    0.32
     Hanging
    0.32
    Hang
    0.31
    Activations Density 0.068%

    No Known Activations