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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 22-LLAMASCOPE-RES-32K
    11. 2412
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    Explanations

    elements related to driving dynamics and vehicle performance

    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
     Mess
    -0.20
    Mess
    -0.15
     mess
    -0.15
     industri
    -0.15
     ÐŁÑĢа
    -0.14
     Pry
    -0.14
    chas
    -0.14
    atem
    -0.14
    ambi
    -0.14
    yles
    -0.14
    POSITIVE LOGITS
     Handling
    0.28
     handling
    0.27
    Handling
    0.25
    Acceleration
    0.23
     acceleration
    0.23
    handling
    0.22
     Corner
    0.20
     corner
    0.20
     feel
    0.19
     Acceler
    0.19
    Activations Density 0.151%

    No Known Activations