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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    negative values and error messages in coding contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 2-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L2R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    awe
    -0.15
     lac
    -0.14
    vsp
    -0.14
    958
    -0.14
    igit
    -0.13
    831
    -0.13
    ven
    -0.13
    590
    -0.13
    531
    -0.13
    /******************************************************************************↵
    -0.13
    POSITIVE LOGITS
    nist
    0.17
    antan
    0.15
    agma
    0.14
    ogn
    0.14
    azio
    0.13
    stitial
    0.13
    haus
    0.13
    ôt
    0.13
    readcr
    0.13
    ooth
    0.13
    Activations Density 0.018%

    No Known Activations