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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3762
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    Explanations

    references to military terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RegressionTest
    -0.73
    ThroughAttribute
    -0.66
    AddTagHelper
    -0.63
    yntaxException
    -0.63
    RenderAtEndOf
    -0.61
     propOrder
    -0.57
    setViewportView
    -0.54
    Tikang
    -0.53
     تضيفلها
    -0.52
    AutoField
    -0.52
    POSITIVE LOGITS
     personnel
    0.42
     Grade
    0.40
     grade
    0.40
    Grade
    0.40
     commanders
    0.37
    grade
    0.35
     acad
    0.34
     stationed
    0.33
     brat
    0.30
     GRADE
    0.30
    Activations Density 0.141%

    No Known Activations