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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 7355
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    Explanations

    names of players in a sports context, particularly related to hockey

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

    Ice hockey players or teams

    np_acts-logits-general · gemini-2.0-flash

    skate on a line with

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ंध
    -0.46
     katalog
    -0.44
    وي
    -0.42
     cof
    -0.41
    ポーター
    -0.38
    遁
    -0.38
     hide
    -0.37
    чам
    -0.37
    Leu
    -0.37
    وی
    -0.37
    POSITIVE LOGITS
     hockey
    1.25
     Hockey
    1.14
    Hockey
    1.10
     ice
    1.07
     NHL
    1.03
     skating
    1.02
    hockey
    1.00
     puck
    1.00
     skates
    0.98
    webElementXpaths
    0.98
    Activations Density 0.132%

    No Known Activations