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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. 19642
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    Explanations

    references to geographic locations, specifically Rio de Janeiro

    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
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    Negative Logits
    çĢ
    -0.17
    ê°ģ
    -0.17
     nowhere
    -0.15
    742
    -0.14
    rub
    -0.14
    abo
    -0.14
    lep
    -0.14
    iske
    -0.14
    face
    -0.14
    EZ
    -0.14
    POSITIVE LOGITS
     Grande
    0.25
     de
    0.22
     Janeiro
    0.21
    chet
    0.20
     jane
    0.17
     Negro
    0.17
     grande
    0.17
    ient
    0.16
     Ferdinand
    0.16
     Olympics
    0.15
    Activations Density 0.006%

    No Known Activations