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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 23-LLAMASCOPE-RES-32K
    11. 30228
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 23-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L23R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    lernen
    -0.16
    æĪ¸
    -0.15
    urga
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    >NN
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    .Reporting
    -0.15
    vince
    -0.14
    IIIK
    -0.14
    (éĩij
    -0.14
    etak
    -0.14
    ulumi
    -0.14
    POSITIVE LOGITS
    =
    0.23
    %
    0.20
    &
    0.19
    []=
    0.18
    =true
    0.18
    =%
    0.17
     &
    0.16
    *&
    0.16
    &id
    0.15
    &utm
    0.15
    Activations Density 0.029%

    No Known Activations