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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 22-LLAMASCOPE-RES-32K
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    Explanations

    mentions of vehicles and driving-related actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    _walk
    -0.16
    Stride
    -0.15
     walk
    -0.15
     nom
    -0.15
    .walk
    -0.15
     Walk
    -0.15
    walk
    -0.15
     tren
    -0.14
     airplanes
    -0.14
    Walk
    -0.14
    POSITIVE LOGITS
     driving
    0.39
     parking
    0.37
     Driving
    0.33
     Parking
    0.32
     drive
    0.32
    -driving
    0.31
    Parking
    0.31
     parked
    0.31
     drives
    0.29
     Drive
    0.29
    Activations Density 0.191%

    No Known Activations