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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1920
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    instances of interviews conducted 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 @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     desmotivaciones
    -0.81
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     Económica
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     Grüsse
    -0.73
     Italij
    -0.72
     Monfieur
    -0.71
     miniaturka
    -0.69
     Meksika
    -0.69
    POSITIVE LOGITS
     Credit
    0.92
    Credit
    0.80
     credit
    0.79
     interviews
    0.77
     interviewing
    0.74
     CREDIT
    0.68
    pieces
    0.68
     piece
    0.66
     Piece
    0.65
    credit
    0.64
    Activations Density 0.292%

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