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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 7677
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    Explanations

    references to various types of metals, particularly in the context of technology and materials science

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ljiv
    -0.35
     darauf
    -0.32
    ား
    -0.32
    ISTO
    -0.30
    govor
    -0.29
    Segments
    -0.28
    รอ
    -0.28
     tarko
    -0.28
     Zust
    -0.28
     asking
    -0.28
    POSITIVE LOGITS
    GOTREF
    0.73
    tagHelperRunner
    0.72
    transQ
    0.63
     nakalista
    0.62
     Metal
    0.61
     oprot
    0.60
     مرئيه
    0.60
    workers
    0.60
    DotNetBar
    0.59
     مشين
    0.58
    Activations Density 0.143%

    No Known Activations