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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 11550
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    references to tea and coffee drinks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     '\\;'
    -0.89
    uxxxx
    -0.79
    ]")]
    -0.69
    UNCIL
    -0.68
    GenerationType
    -0.67
    ⓧ
    -0.65
    orteur
    -0.64
     AssemblyTitle
    -0.64
     الحره
    -0.63
     ModelExpression
    -0.62
    POSITIVE LOGITS
     drinks
    1.17
     coffee
    1.14
     tea
    1.12
     drink
    1.11
    drink
    0.99
    coffee
    0.98
     beverages
    0.95
     cappuccino
    0.94
     Drinks
    0.94
    Drinks
    0.94
    Activations Density 0.242%

    No Known Activations