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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 30-LLAMASCOPE-RES-32K
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    Explanations

    mentions of environment variables and tokens related to configuration and security in code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 30-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    atel
    -0.14
     Stats
    -0.14
    ãĥªãĤ«
    -0.13
     MetroFramework
    -0.13
    pector
    -0.13
    ortion
    -0.13
    nage
    -0.13
    esser
    -0.13
    lya
    -0.13
     createState
    -0.12
    POSITIVE LOGITS
     environment
    0.61
     env
    0.59
     environmental
    0.57
    env
    0.54
     Environment
    0.54
    environment
    0.54
    .env
    0.51
     Env
    0.50
     environ
    0.50
     Environmental
    0.50
    Activations Density 0.057%

    No Known Activations