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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. 14006
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    references to marine and aquatic themes

    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
    EDEFAULT
    -0.75
    tagHelperRunner
    -0.70
     виправивши
    -0.66
    UIControlState
    -0.59
    aarrggbb
    -0.58
    AndEndTag
    -0.57
     الحره
    -0.57
    MigrationBuilder
    -0.55
    Datuak
    -0.54
    addGap
    -0.53
    POSITIVE LOGITS
     Corps
    0.37
     Marine
    0.36
    <bos>
    0.32
    Marine
    0.32
     life
    0.32
     MARINE
    0.32
     pul
    0.31
    顔
    0.31
     os
    0.30
     незавершена
    0.30
    Activations Density 0.182%

    No Known Activations