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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 303
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    terms related to dining and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RegressionTest
    -0.82
     Shetterly
    -0.75
     Maggiore
    -0.71
     Generale
    -0.71
    SizeF
    -0.70
    bewerken
    -0.70
     hùng
    -0.69
    enough
    -0.69
    gerald
    -0.68
    __':
    -0.67
    POSITIVE LOGITS
     dining
    2.84
     Dining
    2.56
    dining
    2.48
    Dining
    2.45
     dine
    1.79
     dined
    1.68
     Dine
    1.49
    Dine
    1.48
     comedor
    1.40
     DIN
    1.39
    Activations Density 0.045%

    No Known Activations