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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. 11966
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    Explanations

    references to specific muscle car models and their attributes

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

    'Cuda Convertible Hemi

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Maryland
    -0.61
    estacks
    -0.55
     queſta
    -0.54
    [@BOS@]
    -0.54
    <unused68>
    -0.54
    <unused43>
    -0.54
    <unused51>
    -0.54
    <unused28>
    -0.54
    <unused8>
    -0.54
    <unused17>
    -0.54
    POSITIVE LOGITS
     Dodge
    0.39
     hemi
    0.39
    裏
    0.36
     kasarigan
    0.35
    opar
    0.35
     裏
    0.34
     Chrysler
    0.34
    tinyos
    0.33
    avx
    0.33
     Савезне
    0.33
    Activations Density 0.101%

    No Known Activations