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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
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    references to action and temporal concepts

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    No Comments

    Negative Logits
    ovich
    -0.20
    olini
    -0.16
    uintptr
    -0.15
    ple
    -0.14
     up
    -0.14
    inator
    -0.14
    tring
    -0.14
    erman
    -0.14
    /xhtml
    -0.14
    rzy
    -0.14
    POSITIVE LOGITS
     unit
    0.28
    unit
    0.23
    -unit
    0.22
     Unit
    0.20
    	un
    0.19
     unidad
    0.19
     缴
    0.19
    [unit
    0.19
     ’
    0.18
    asco
    0.18
    Activations Density 0.060%

    No Known Activations