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

    references to walls and wall coverings in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 9-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L9R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lemn
    -0.16
    oga
    -0.15
    oss
    -0.15
    esus
    -0.14
    물
    -0.14
    onto
    -0.13
    INU
    -0.13
    sÃŃ
    -0.13
    fts
    -0.13
    exus
    -0.13
    POSITIVE LOGITS
     walls
    0.20
    å£ģ
    0.19
    -mounted
    0.19
    -wall
    0.19
    aver
    0.18
     wall
    0.18
    sWith
    0.17
    /window
    0.16
    rock
    0.16
     Walls
    0.15
    Activations Density 0.035%

    No Known Activations