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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 14262
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    references to dedicated reading devices and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.87
    UnknownFields
    -0.66
     跳转至
    -0.59
    unus
    -0.56
    帖最后由
    -0.55
    SpringRunner
    -0.54
     NSCoder
    -0.53
     EconPapers
    -0.53
    Билгалдахарш
    -0.52
    twimg
    -0.50
    POSITIVE LOGITS
     dedicated
    1.25
    dedicated
    1.12
    专门
    1.03
    Dedicated
    0.96
     specialized
    0.94
     specialised
    0.94
     Dedicated
    0.93
     specialist
    0.90
     dedicate
    0.88
     dedicado
    0.87
    Activations Density 0.490%

    No Known Activations