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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. 9449
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    references to police and law enforcement entities

    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
    tagHelperRunner
    -0.53
     >=",
    -0.52
    iyor
    -0.49
    Tikang
    -0.48
    InitVars
    -0.48
     Worth
    -0.45
     betweenstory
    -0.43
    __*/
    -0.42
    uisine
    -0.41
    RegressionTest
    -0.41
    POSITIVE LOGITS
     forces
    0.59
     officers
    0.57
     officer
    0.54
     force
    0.50
    forces
    0.50
    women
    0.49
     stations
    0.49
     OFFICERS
    0.47
     Chwiliwch
    0.47
     station
    0.47
    Activations Density 0.076%

    No Known Activations