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

    issues related to travel logistics, specifically concerning baggage and airline interactions

    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
     Knot
    -0.16
    Parms
    -0.15
    ATAB
    -0.15
    lime
    -0.15
     Walls
    -0.14
    icus
    -0.14
    aina
    -0.14
    icense
    -0.14
    alem
    -0.14
    ptime
    -0.14
    POSITIVE LOGITS
     checked
    0.28
     baggage
    0.27
     overweight
    0.24
    -checked
    0.23
    checked
    0.23
     Checked
    0.23
     luggage
    0.22
     Bag
    0.21
     check
    0.21
     баг
    0.20
    Activations Density 0.032%

    No Known Activations