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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. 8438
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    Explanations

    references to the rear of vehicles or related components

    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
     front
    -0.19
    ellen
    -0.18
     Front
    -0.17
     frontend
    -0.15
    aç
    -0.15
    dge
    -0.15
     recurring
    -0.15
    екаÑĢ
    -0.15
     Poor
    -0.15
     poor
    -0.15
    POSITIVE LOGITS
    ward
    0.40
    wards
    0.30
    WARD
    0.26
    WARDS
    0.24
    -end
    0.23
    /back
    0.23
    -facing
    0.22
    -most
    0.22
    /front
    0.21
    view
    0.21
    Activations Density 0.012%

    No Known Activations