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    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 17-LLAMASCOPE-RES-32K
    6. 26724
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    Explanations

    numbers indicating game scores, wins, and losses in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 17-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L17R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.17.hook_resid_post
    Hook Layer
    17
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uard
    -0.17
    gom
    -0.16
    ie
    -0.16
    942
    -0.16
    oj
    -0.15
    nen
    -0.15
    forge
    -0.15
    osy
    -0.14
    -ÑĤо
    -0.14
    mond
    -0.14
    POSITIVE LOGITS
    iyon
    0.17
    oland
    0.15
    /-
    0.15
    obe
    0.15
    asbourg
    0.14
    ï¼ĪæĺŃåĴĮ
    0.14
     McMahon
    0.14
    achat
    0.14
    LOB
    0.13
    .au
    0.13
    Activations Density 0.025%

    No Known Activations