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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 25-LLAMASCOPE-RES-32K
    11. 14765
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    Explanations

    phrases involving the term "brick and mortar," indicating physical retail spaces or businesses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 25-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L25R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AIT
    -0.16
    chten
    -0.15
    banks
    -0.15
    uw
    -0.15
    opathy
    -0.14
    ait
    -0.14
    abcdefgh
    -0.14
    ainting
    -0.14
    gam
    -0.14
     Revenue
    -0.14
    POSITIVE LOGITS
     mortar
    0.36
    -mort
    0.29
     Mort
    0.29
    mort
    0.26
     mort
    0.24
     brick
    0.23
     mortal
    0.23
     bricks
    0.22
     cement
    0.21
     concrete
    0.20
    Activations Density 0.011%

    No Known Activations