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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 38226
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    INDEX
    Explanations

    references to specific car models and their features

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Volkswagen car models

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    Negative Logits
     nonUne
    -0.53
    ьаж
    -0.52
    EndContext
    -0.52
    таратура
    -0.49
     المعيارى
    -0.49
    RegressionTest
    -0.45
     doInBackground
    -0.44
    CloseOperation
    -0.43
    Дереккөздер
    -0.43
     millas
    -0.42
    POSITIVE LOGITS
     GTI
    0.60
     ویکی‌پدی
    0.49
     WRX
    0.48
    AddTagHelper
    0.46
     Opel
    0.46
    Subaru
    0.45
    Opel
    0.43
     Subaru
    0.43
     Hawke
    0.41
    Carlton
    0.41
    Activations Density 0.021%

    No Known Activations