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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. 9614
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    Explanations

    specific terms related to railway infrastructure and technical terms in programming or coding contexts

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

    Follows "Railway" or "Celtic"

    np_acts-logits-general · gemini-2.0-flash

    railway stations, technical formats, Celtic culture

    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
     resourceCulture
    -0.60
     ویکی‌پدی
    -0.56
     الرياضيه
    -0.56
     للاسماء
    -0.49
     Exacts
    -0.49
    EndInit
    -0.49
    rawDesc
    -0.48
    posedge
    -0.48
     StringTokenizer
    -0.47
    Література
    -0.47
    POSITIVE LOGITS
    ⓧ
    0.47
     kasarigan
    0.45
     Bristol
    0.44
    ISTOL
    0.41
     salariés
    0.40
    Bristol
    0.40
     Cardiff
    0.38
     Bordeaux
    0.35
    Bordeaux
    0.34
    Segue
    0.34
    Activations Density 0.384%

    No Known Activations