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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 11618
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    Explanations

    references related to regulatory actions, proposals, and discussions about the Railroad industry

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

    following "Railroad," "State," or "Industry"

    np_acts-logits-general · gemini-2.0-flash

    railroads and government industry

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resourceCulture
    -0.60
    SequentialGroup
    -0.41
    rungsseite
    -0.40
    素人
    -0.40
    :✨
    -0.39
    ValueStyle
    -0.38
    ViewImports
    -0.36
     مرئيه
    -0.36
    ✨:
    -0.35
     Senna
    -0.35
    POSITIVE LOGITS
     Wikimedijinoj
    0.57
    GEBURTSDATUM
    0.47
     createState
    0.46
     Италијани
    0.46
     afges
    0.43
     adelant
    0.42
     submit
    0.41
    *>(
    0.41
     operators
    0.40
    ionales
    0.40
    Activations Density 0.586%

    No Known Activations