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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12068
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    Explanations

    quantitative data related to population and demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.60
     surla
    -0.49
    LookAnd
    -0.48
    principalColumn
    -0.46
     estekak
    -0.45
     <<<<<<<<<<<<<<
    -0.44
    ']>;
    -0.43
    ieteur
    -0.42
    ValueStyle
    -0.42
     ivelany
    -0.42
    POSITIVE LOGITS
     persons
    0.57
     crowded
    0.52
    人数
    0.52
     members
    0.51
    人數
    0.50
     crowds
    0.48
     crowd
    0.47
    persons
    0.46
     numbers
    0.44
     family
    0.44
    Activations Density 0.407%

    No Known Activations