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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 5897
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    INDEX
    Explanations

    references to employee needs and professional development within a workplace context

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

    Word preceding "needs" or similar words

    np_acts-logits-general · gemini-2.0-flash

    needs and interests

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    getBean
    -0.36
     minh
    -0.35
    migrationBuilder
    -0.33
    Indented
    -0.33
    gwt
    -0.32
    Cubit
    -0.31
    下载附件
    -0.31
    ButterKnife
    -0.30
    isDone
    -0.30
    肃
    -0.30
    POSITIVE LOGITS
     needs
    1.50
    needs
    1.27
     Needs
    1.20
    Needs
    1.17
     interests
    1.17
     Bedürfnisse
    1.10
     NEEDS
    1.09
     necesidades
    1.06
     concerns
    0.99
     wishes
    0.95
    Activations Density 0.297%

    No Known Activations