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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
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    references to memory capacity and usage in computing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 30-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    PTS
    -0.16
    dez
    -0.16
    illac
    -0.16
    cala
    -0.15
     ç´
    -0.14
     ì¶ľìŀ¥
    -0.14
    imei
    -0.14
    \Mapping
    -0.14
    ανά
    -0.14
    aan
    -0.13
    POSITIVE LOGITS
     memory
    0.37
     DDR
    0.32
     Memory
    0.32
     DIM
    0.32
     RAM
    0.30
    Memory
    0.29
    memory
    0.28
     modules
    0.28
     ram
    0.28
    DDR
    0.28
    Activations Density 0.002%

    No Known Activations