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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 14295
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    Explanations

    names of individuals, particularly athletes and historical figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Спољашње
    -0.42
     cantit
    -0.40
    的道
    -0.40
    publicain
    -0.40
    ⭔
    -0.39
    TacToe
    -0.39
     intptr
    -0.38
    glUniform
    -0.38
    LIBR
    -0.38
     cư
    -0.37
    POSITIVE LOGITS
     scrum
    0.94
     rugby
    0.85
     Rugby
    0.80
    Rugby
    0.75
     Scrum
    0.73
    rugby
    0.72
     flan
    0.65
    🏉
    0.63
     prop
    0.61
     hook
    0.61
    Activations Density 0.139%

    No Known Activations