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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. 8065
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    Explanations

    variations of the word "Har" or related to it, indicating a strong focus on names or terms containing the root "har."

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

    Tokens starting with "Har"

    np_acts-logits-general · gemini-2.0-flash

    Har*

    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
    gsSP
    -0.50
    Népesség
    -0.49
    StoryboardSegue
    -0.48
    complexContent
    -0.45
    endregion
    -0.45
    noinspection
    -0.44
     ویکی‌پدی
    -0.44
    mybatisplus
    -0.42
    ership
    -0.42
     kasarigan
    -0.41
    POSITIVE LOGITS
     Har
    0.79
     HAR
    0.72
    Har
    0.71
     har
    0.70
    HAR
    0.62
     Harper
    0.53
     Хар
    0.50
     Harlow
    0.49
    har
    0.47
    Harper
    0.47
    Activations Density 0.160%

    No Known Activations