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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 22-LLAMASCOPE-RES-32K
    11. 16264
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    mentions of specific car models and features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    缼
    -0.15
    olas
    -0.15
     Julius
    -0.14
    otle
    -0.14
    ought
    -0.14
    _ENDIAN
    -0.14
    inee
    -0.14
    vek
    -0.14
    iner
    -0.14
    ideographic
    -0.14
    POSITIVE LOGITS
     Hyundai
    0.32
     Korean
    0.29
     Korea
    0.28
     Seoul
    0.27
     Koreans
    0.26
     Kia
    0.22
     HÃłn
    0.21
     Samsung
    0.20
     éŁĵ
    0.20
     Sonata
    0.19
    Activations Density 0.021%

    No Known Activations