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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 2-LLAMASCOPE-RES-32K
    11. 4200
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    Explanations

    references to the act of burning and its consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 2-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L2R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    系統
    -0.17
    immel
    -0.17
     spr
    -0.16
    errer
    -0.15
     win
    -0.15
    érica
    -0.14
    dre
    -0.14
     Quy
    -0.14
    ÙĪدÙĩ
    -0.14
    ipi
    -0.14
    POSITIVE LOGITS
     burning
    0.16
    burn
    0.15
    iddles
    0.15
     Burning
    0.15
    gons
    0.14
    iddle
    0.14
     Burns
    0.14
     preamble
    0.14
    icket
    0.14
     cartridge
    0.14
    Activations Density 0.056%

    No Known Activations