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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 4500
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    Explanations

    words associated with cooking techniques and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AddHtmlAttribute
    -0.66
     '\\;'
    -0.65
    setVerticalGroup
    -0.60
    енча
    -0.53
    forRoot
    -0.53
    XtraGrid
    -0.53
    AxisAlignment
    -0.51
    RegressionTest
    -0.49
     وتسجيلات
    -0.48
    リエステル
    -0.48
    POSITIVE LOGITS
     fire
    2.12
     fires
    1.88
     burning
    1.88
     flames
    1.86
     flame
    1.73
    fire
    1.68
     Fire
    1.68
    Fire
    1.67
     burn
    1.61
     FIRE
    1.58
    Activations Density 0.322%

    No Known Activations