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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 fragment management in programming code

    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
    ÑĸлÑĸ
    -0.15
     æ¬
    -0.15
    zell
    -0.15
    ÑĦоÑĢми
    -0.14
     prest
    -0.14
    ew
    -0.14
    kaz
    -0.14
    (Void
    -0.14
     Grove
    -0.14
    kas
    -0.13
    POSITIVE LOGITS
     Fragment
    0.36
     fragment
    0.34
    .Fragment
    0.33
     fragments
    0.30
    fragment
    0.30
     Frag
    0.29
    Fragment
    0.27
     frag
    0.26
    frag
    0.26
    .fragment
    0.26
    Activations Density 0.041%

    No Known Activations