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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 1138
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    Explanations

    references to the word "Vin" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     utafitiHapana
    -0.43
    /**
    -0.42
     nahilalakip
    -0.39
     TextAppearance
    -0.37
    ToProps
    -0.37
    fjspx
    -0.36
    InstrumentedTest
    -0.36
     Jazeera
    -0.35
    闪
    -0.34
     OMITBAD
    -0.34
    POSITIVE LOGITS
     vin
    2.27
     Vin
    2.20
    Vin
    2.16
    vin
    2.13
    VIN
    1.92
     Вин
    1.72
     VIN
    1.70
    Win
    1.62
     Win
    1.58
    WIN
    1.55
    Activations Density 0.412%

    No Known Activations