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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 7575
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    Explanations

    terms related to optimization processes, particularly in the context of minimizing error in statistical models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nakalista
    -0.37
    hör
    -0.34
    embatan
    -0.33
     impossível
    -0.32
    Hentet
    -0.32
    다
    -0.31
    tablissement
    -0.31
     stereotypes
    -0.30
     canlynol
    -0.30
     tier
    -0.30
    POSITIVE LOGITS
     objective
    0.92
     minimization
    0.89
     minimized
    0.84
    objective
    0.76
     minimize
    0.75
     squared
    0.75
     minimizing
    0.74
     Objective
    0.73
     criterion
    0.72
    Objective
    0.69
    Activations Density 1.674%

    No Known Activations