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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 14-LLAMASCOPE-RES-32K
    11. 29930
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    numeric values related to resource allocation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 14-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L14R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    erli
    -0.16
    alion
    -0.16
    alice
    -0.15
     cer
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     geri
    -0.14
    ctor
    -0.14
    atoria
    -0.14
     mili
    -0.14
    é£Ł
    -0.14
    ette
    -0.14
    POSITIVE LOGITS
     trait
    0.15
     attribute
    0.15
    _PROC
    0.14
    ReadStream
    0.14
     Vit
    0.14
    æľŃ
    0.14
     provoke
    0.14
     Trait
    0.13
    ampa
    0.13
     Specialist
    0.13
    Activations Density 0.310%

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