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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 19-LLAMASCOPE-RES-32K
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    parameters and structures related to cross-validation folds in machine learning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 19-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L19R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.19.hook_resid_post
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    æĹıèĩªæ²»
    -0.20
     Delegate
    -0.16
    untu
    -0.15
    ãĤ«ãĥ¼
    -0.15
    BOOLE
    -0.15
    znik
    -0.15
    (strict
    -0.14
    swer
    -0.14
    imson
    -0.14
    isnan
    -0.14
    POSITIVE LOGITS
     max
    0.22
     number
    0.21
    =len
    0.19
    NumberOf
    0.19
     Max
    0.18
     maximum
    0.18
    .max
    0.18
    ä»
    0.17
     total
    0.17
    _max
    0.17
    Activations Density 0.111%

    No Known Activations