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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 5390
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    Explanations

    dates, specifically mentioning the month and year in textual format

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

    Months of the year

    np_acts-logits-general · gemini-2.0-flash

    months of the year

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fxml
    -0.47
    AndEndTag
    -0.39
    PyExc
    -0.36
    nestjs
    -0.35
     NgModule
    -0.35
     Fass
    -0.34
     henvisninger
    -0.34
     poveznice
    -0.33
    ofire
    -0.33
     mai
    -0.33
    POSITIVE LOGITS
     للاسماء
    0.68
    kuuta
    0.62
     kasarigan
    0.60
    Kaynakça
    0.52
    Lähteet
    0.50
    Portail
    0.49
     الحره
    0.47
    KommentareTeilen
    0.47
     '\\;'
    0.46
    Fordítás
    0.46
    Activations Density 0.132%

    No Known Activations