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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 30-LLAMASCOPE-RES-32K
    11. 6060
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    Explanations

    mentions of specific vehicle brands and models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 30-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iban
    -0.18
    å®ħ
    -0.17
     Oslo
    -0.17
     Sony
    -0.17
     Nut
    -0.15
     Kashmir
    -0.15
    Sony
    -0.15
     soph
    -0.14
    gaard
    -0.14
     OS
    -0.14
    POSITIVE LOGITS
     Dodge
    0.35
     Chrysler
    0.29
     Ram
    0.27
     Pent
    0.27
     Charger
    0.26
     Challenger
    0.25
     RAM
    0.25
     hem
    0.23
     Hell
    0.23
    Ram
    0.23
    Activations Density 0.007%

    No Known Activations