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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 24-LLAMASCOPE-RES-32K
    11. 15932
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    rhetorical questions

    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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    Negative Logits
     but
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     Therefore
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     so
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     therefore
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    onga
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     wiÄĻc
    -0.16
     So
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     pero
    -0.15
     BUT
    -0.15
    Therefore
    -0.15
    POSITIVE LOGITS
     Answers
    0.31
     answers
    0.30
     Answer
    0.29
     ANSW
    0.29
     answering
    0.28
    çŃĶæ¡Ī
    0.28
    Answers
    0.27
     answer
    0.27
     answered
    0.26
     çŃĶ
    0.24
    Activations Density 0.073%

    No Known Activations