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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2568
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    INDEX
    Explanations

    phrases related to stereotypes and misconceptions

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

    stereotypes, misconceptions, or preconceptions

    np_acts-logits-general · gemini-2.0-flash

    stereotypes, misconceptions, myths

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Async
    -0.33
    hilangan
    -0.31
     laut
    -0.30
     provoc
    -0.29
    วย
    -0.29
     Архів
    -0.28
     Teles
    -0.28
    材质
    -0.28
    Jahr
    -0.28
     precise
    -0.28
    POSITIVE LOGITS
     stereotype
    1.04
     misconception
    1.01
     stereotypes
    1.00
     misconceptions
    1.00
     myths
    0.87
     perceptions
    0.84
     myth
    0.83
     Perceptions
    0.81
     Myths
    0.80
     perception
    0.80
    Activations Density 0.508%

    No Known Activations