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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 24-LLAMASCOPE-RES-32K
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    references to frame rates and performance in virtual reality experiences

    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
    å¼ĺ
    -0.17
    ÙĪÛĮÙĦ
    -0.15
    Ùĩار
    -0.15
     radi
    -0.14
    è§Ħ模
    -0.14
    etu
    -0.14
    üç
    -0.14
    CRET
    -0.13
    ilha
    -0.13
    aisal
    -0.13
    POSITIVE LOGITS
     refresh
    0.34
     frame
    0.34
     frames
    0.33
     Refresh
    0.32
     Frames
    0.31
     Frame
    0.30
    -frame
    0.29
    refresh
    0.28
    .refresh
    0.28
    -refresh
    0.28
    Activations Density 0.034%

    No Known Activations