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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. 9763
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    references to neural network training and optimization

    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
    quam
    -0.15
    arde
    -0.15
    _aligned
    -0.15
    ãĥ³ãĤ¬
    -0.14
    Pragma
    -0.13
    /apimachinery
    -0.13
     Blades
    -0.13
    _CAST
    -0.13
     pant
    -0.13
    ç´
    -0.13
    POSITIVE LOGITS
     trained
    0.40
     training
    0.37
    trained
    0.35
    -trained
    0.35
    training
    0.30
     Training
    0.30
     learning
    0.30
    -training
    0.30
    Training
    0.29
     neural
    0.28
    Activations Density 0.125%

    No Known Activations