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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. 16
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    Explanations

    statistical and performance metrics related to success rates

    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
    .scalablytyped
    -0.17
    abis
    -0.16
    erule
    -0.15
     Morm
    -0.15
    óż
    -0.15
    orne
    -0.14
    ATS
    -0.14
    zte
    -0.14
    ALT
    -0.14
    mill
    -0.14
    POSITIVE LOGITS
    çİĩ
    0.19
     percentage
    0.19
     percentages
    0.18
     partial
    0.17
     rate
    0.17
     percent
    0.17
    ìľ¨
    0.16
     efficiency
    0.16
     rates
    0.15
     figure
    0.15
    Activations Density 0.174%

    No Known Activations