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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 10-LLAMASCOPE-RES-32K
    11. 31566
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    Explanations

    statistical factors affecting a gap in expenditure versus income

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 10-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L10R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ashed
    -0.16
    .epam
    -0.15
    oltip
    -0.14
    zdy
    -0.14
    bsolute
    -0.14
    PELL
    -0.14
    leston
    -0.14
    umlu
    -0.14
    THR
    -0.14
    imité
    -0.14
    POSITIVE LOGITS
    íĺģ
    0.15
    ior
    0.15
     factors
    0.15
     Aster
    0.15
    etter
    0.14
     pri
    0.14
     Rank
    0.14
    iot
    0.13
    regon
    0.13
    ANI
    0.13
    Activations Density 0.047%

    No Known Activations