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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 17-LLAMASCOPE-RES-32K
    11. 19911
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    Explanations

    locations and names of cities, particularly in the context of events or situations

    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
    dong
    -0.19
    917
    -0.16
    taj
    -0.15
    915
    -0.15
    ÑĢÑĥÑĤ
    -0.14
     (č↵
    -0.14
    ABEL
    -0.14
     rau
    -0.14
    aterno
    -0.14
    tir
    -0.14
    POSITIVE LOGITS
    -area
    0.21
     suburb
    0.18
    metro
    0.18
    ans
    0.17
     metropolitan
    0.17
    ois
    0.16
    ites
    0.16
     metro
    0.16
     tough
    0.15
     Chin
    0.15
    Activations Density 0.113%

    No Known Activations