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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 22-LLAMASCOPE-RES-32K
    11. 12990
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    Explanations

    cooking instructions and ingredient preparation methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endale
    -0.18
     blended
    -0.16
    amba
    -0.15
    iller
    -0.15
    isÃŃ
    -0.15
    stro
    -0.14
    Scrollbar
    -0.14
    纯
    -0.14
    ONTAL
    -0.13
     Mezi
    -0.13
    POSITIVE LOGITS
     frying
    0.25
     pan
    0.22
     skillet
    0.21
     Fry
    0.20
     fry
    0.20
     Pan
    0.19
    pf
    0.19
     iron
    0.19
     heat
    0.18
     cooking
    0.18
    Activations Density 0.059%

    No Known Activations