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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 24-LLAMASCOPE-RES-32K
    11. 19987
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    Explanations

    tactical terminology related to sports formations and player positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agli
    -0.17
     squash
    -0.16
     crew
    -0.16
    crew
    -0.15
    ooth
    -0.15
     Fist
    -0.15
    steen
    -0.15
    å¹¹
    -0.14
     Punch
    -0.14
    /table
    -0.14
    POSITIVE LOGITS
     wing
    0.26
     wings
    0.24
     winger
    0.24
     flank
    0.24
    翼
    0.21
    -wing
    0.21
     cánh
    0.20
    wing
    0.20
     wide
    0.20
     width
    0.19
    Activations Density 0.063%

    No Known Activations