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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. 5423
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    Explanations

    instances of the word "caught" and its variations, indicating moments of being surprised or unexpectedly seized by a situation

    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
     renon
    -0.63
     Ayers
    -0.59
    seamnă
    -0.57
     embora
    -0.56
    isNullOrEmpty
    -0.55
    Nuke
    -0.55
     ansatte
    -0.54
     Landis
    -0.54
    fährt
    -0.54
    ChromeDriver
    -0.53
    POSITIVE LOGITS
     caught
    2.76
    caught
    2.53
     Caught
    2.52
    Caught
    2.39
     catches
    2.28
     catching
    2.18
     catch
    2.18
     Catch
    1.90
     CATCH
    1.90
    Catching
    1.73
    Activations Density 0.119%

    No Known Activations