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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 6-LLAMASCOPE-RES-32K
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    memory management functions and operations in code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 6-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L6R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     unc
    -0.16
    fet
    -0.14
    na
    -0.14
    mdp
    -0.14
    kov
    -0.14
    Tokenizer
    -0.13
    284
    -0.13
    ıcı
    -0.13
    orida
    -0.13
    unc
    -0.13
    POSITIVE LOGITS
    bery
    0.18
    .AF
    0.17
    lds
    0.16
     Dah
    0.15
    ients
    0.15
    esin
    0.15
    ENCH
    0.14
    ãĥ«ãĥī
    0.14
    street
    0.14
    _pdata
    0.14
    Activations Density 0.027%

    No Known Activations