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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10857
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    INDEX
    Explanations

    instances of the word "quite" along with associated modifiers

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

    "quite"

    np_acts-logits-general · gemini-2.0-flash

    quite followed by descriptive words

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wüns
    -0.58
     Wex
    -0.54
    newnode
    -0.51
    плек
    -0.51
     Flä
    -0.48
    strahlung
    -0.48
    MERC
    -0.48
     total
    -0.46
    崙
    -0.46
    du
    -0.46
    POSITIVE LOGITS
    quite
    0.95
     quite
    0.90
     Quite
    0.85
    extAlignment
    0.85
     nahilalakip
    0.83
    Quite
    0.83
    queryInterface
    0.80
     disambiguazione
    0.80
    Vidite
    0.79
    Nhi
    0.78
    Activations Density 0.094%

    No Known Activations