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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 8-LLAMASCOPE-RES-32K
    11. 30630
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    colons and their contextual use within code structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 8-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L8R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     desar
    -0.16
    ÑģÑĤÑİ
    -0.16
    æ½®
    -0.15
    chedulers
    -0.15
    ĶåĽŀ
    -0.15
    æģµ
    -0.15
    uito
    -0.14
    èŀį
    -0.14
    Ģ
    -0.14
    оÑĦ
    -0.14
    POSITIVE LOGITS
    adel
    0.16
    umuz
    0.14
    usi
    0.14
     Valent
    0.14
    884
    0.14
     con
    0.14
     cal
    0.14
    енз
    0.14
    863
    0.13
     Dale
    0.13
    Activations Density 0.018%

    No Known Activations