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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. 15363
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    Explanations

    terms related to football players and their roles on the team

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

    before a verb

    np_acts-logits-general · gemini-2.0-flash

    lineman protection

    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
     CreateTagHelper
    -0.58
    RegressionTest
    -0.57
    новниш
    -0.53
    awtextra
    -0.46
    SIGINT
    -0.45
    irited
    -0.44
    RTSC
    -0.44
    PostInfinity
    -0.43
     Hez
    -0.43
     cau
    -0.42
    POSITIVE LOGITS
     lineman
    0.52
     protezione
    0.47
     melindungi
    0.46
     perlindungan
    0.45
     offensive
    0.44
    Offensive
    0.44
     Protección
    0.43
     protecting
    0.43
     Offensive
    0.41
     protection
    0.41
    Activations Density 0.104%

    No Known Activations