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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 16-LLAMASCOPE-RES-32K
    11. 4843
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    Explanations

    mentions of competition and performance in automotive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 16-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L16R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    angan
    -0.17
    aurus
    -0.15
    تÙĦ
    -0.15
    yte
    -0.15
     Samsung
    -0.14
     Volvo
    -0.14
     اÙĦعاÙħØ©
    -0.14
     Toyota
    -0.14
     Volkswagen
    -0.14
    Samsung
    -0.14
    POSITIVE LOGITS
     sports
    0.18
    warts
    0.16
     Sports
    0.16
    çĥĪ
    0.15
     Daytona
    0.15
     Radical
    0.15
     rac
    0.15
     Red
    0.14
    usra
    0.14
     Museum
    0.14
    Activations Density 0.125%

    No Known Activations