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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 10807
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    INDEX
    Explanations

    references to career achievements and milestones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "career" or "Career"

    np_acts-logits-general · gemini-2.0-flash

    his career

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AccessorTable
    -0.58
    BagConstraints
    -0.51
    IntoConstraints
    -0.50
    ValueGeneration
    -0.49
     فريبيس
    -0.48
     שוליים
    -0.47
    MIDDLEWARE
    -0.46
    合
    -0.46
    hland
    -0.45
    micron
    -0.43
    POSITIVE LOGITS
     career
    2.14
     careers
    1.80
    career
    1.75
     carrière
    1.70
    Career
    1.60
     Career
    1.53
     carreira
    1.52
     CAREER
    1.45
     carrera
    1.45
     carriera
    1.43
    Activations Density 0.163%

    No Known Activations