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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9798
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    Explanations

    player statistics and performance metrics related to football teams

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

    Adding depth and talent to a team

    np_acts-logits-general · gemini-2.0-flash

    depth and talent needs

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     referenties
    -0.76
    ########.
    -0.68
    RenderAtEndOf
    -0.64
     مشين
    -0.56
    pitaux
    -0.55
    useNewUrlParser
    -0.53
    timestamps
    -0.52
     giác
    -0.51
     tausend
    -0.51
    Traceback
    -0.50
    POSITIVE LOGITS
     depth
    1.03
    depth
    0.91
     Depth
    0.86
    Depth
    0.86
     firepower
    0.81
     DEPTH
    0.81
    DEPTH
    0.80
     young
    0.80
     talented
    0.79
     experienced
    0.78
    Activations Density 0.170%

    No Known Activations