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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6905
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    Explanations

    references to various sports cups and tournaments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    __*/
    -0.69
    quelize
    -0.54
     يتيمه
    -0.53
     שוליים
    -0.50
    PropertyChanging
    -0.48
    PyExc
    -0.48
    OGND
    -0.48
    AddTagHelper
    -0.47
    makeConstraints
    -0.45
    RTEX
    -0.45
    POSITIVE LOGITS
     Cup
    1.07
     cup
    1.00
    Cup
    0.88
     trophy
    0.85
     tournament
    0.78
     CUP
    0.77
     Trophy
    0.77
    cup
    0.73
    カップ
    0.70
    杯
    0.69
    Activations Density 0.155%

    No Known Activations