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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. 10100
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    Explanations

    information related to specific car models and their characteristics

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ebra
    -0.16
    Scaler
    -0.15
     cân
    -0.15
     Bij
    -0.15
    angi
    -0.14
    yst
    -0.14
    ÑĢÑĥÑĩ
    -0.14
    _TB
    -0.14
     Harlem
    -0.14
    685
    -0.14
    POSITIVE LOGITS
     sedan
    0.34
     Sed
    0.31
     sed
    0.31
    sed
    0.27
     hatch
    0.26
     Hatch
    0.25
     sediment
    0.21
     compact
    0.21
     sal
    0.19
    compact
    0.19
    Activations Density 0.089%

    No Known Activations