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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 9-LLAMASCOPE-RES-32K
    11. 25063
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    Explanations

    fluctuations in performance and returns 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
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    Negative Logits
    oky
    -0.15
    eldorf
    -0.15
    kas
    -0.15
    æģµ
    -0.14
    imar
    -0.14
     LogLevel
    -0.14
    iegel
    -0.14
     Moderator
    -0.14
    üst
    -0.13
     rast
    -0.13
    POSITIVE LOGITS
    implicit
    0.17
    708
    0.17
    idd
    0.17
    afil
    0.15
    141
    0.15
     sizing
    0.15
    879
    0.14
    ÙĨاÙĨ
    0.14
     Nicholson
    0.14
     Kidd
    0.14
    Activations Density 0.241%

    No Known Activations