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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 588
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    Explanations

    repetitive phrases emphasizing the word "so."

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

    Preceding "many" or "much"

    np_acts-logits-general · gemini-2.0-flash

    so many or too much

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    withIdentifier
    -0.75
     Савезне
    -0.71
    kloped
    -0.68
     onCancelled
    -0.67
     AssemblyTitle
    -0.67
    DebuggerNonUser
    -0.66
    RegressionTest
    -0.65
     Meksiku
    -0.64
    PyExc
    -0.63
     Италијани
    -0.63
    POSITIVE LOGITS
     many
    1.00
     fewer
    0.95
     few
    0.77
     dozens
    0.62
    many
    0.61
     MANY
    0.56
     hundreds
    0.56
     viele
    0.56
     Fewer
    0.55
     tantos
    0.54
    Activations Density 0.146%

    No Known Activations