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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 16-LLAMASCOPE-RES-32K
    11. 6784
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    Explanations

    numerical values, particularly percentages and statistics related to performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 16-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L16R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    udder
    -0.18
    ùy
    -0.16
    olec
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    tae
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    obao
    -0.14
     Gins
    -0.14
     prim
    -0.14
     cha
    -0.14
     Cypress
    -0.14
     stake
    -0.14
    POSITIVE LOGITS
    ALER
    0.15
    .syntax
    0.15
    .spin
    0.14
    enÄĽ
    0.14
    .Inject
    0.13
    aper
    0.13
     Marks
    0.13
    -Cs
    0.13
     Morr
    0.13
    Descriptors
    0.12
    Activations Density 0.104%

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