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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 7-LLAMASCOPE-RES-32K
    11. 15289
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    references to machine learning models and their performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 7-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L7R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Æ¡
    -0.16
    .unpack
    -0.16
     misunder
    -0.15
     undermin
    -0.15
     Fitzgerald
    -0.14
    _CTL
    -0.14
     repmat
    -0.14
    λÏī
    -0.13
    asser
    -0.13
    inte
    -0.13
    POSITIVE LOGITS
     Cah
    0.15
    /pro
    0.15
    noop
    0.14
    ceae
    0.14
     Mell
    0.13
    yx
    0.13
    ahir
    0.13
    beh
    0.13
     positive
    0.13
    ucs
    0.13
    Activations Density 0.042%

    No Known Activations