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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
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    questions related to military service, specifically concerning Marines and their roles

    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
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    Negative Logits
    pers
    -0.15
    eca
    -0.14
    itz
    -0.14
     Knot
    -0.13
    arts
    -0.13
    idor
    -0.13
    .Logic
    -0.13
    ips
    -0.13
    atch
    -0.13
    ib
    -0.13
    POSITIVE LOGITS
    .readAs
    0.14
     FetchType
    0.13
    ucher
    0.13
     Ukra
    0.13
    .MixedReality
    0.13
    Ïīμα
    0.13
    .Undef
    0.13
    amble
    0.13
    TRL
    0.13
     rumpe
    0.13
    Activations Density 0.020%

    No Known Activations