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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 6549
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    INDEX
    Explanations

    phrases related to cooking and food preparation techniques

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

    after cooking-related verbs

    np_acts-logits-general · gemini-2.0-flash

    cooking and food preparation

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.86
     unknownFields
    -0.73
    erialized
    -0.69
    GEBURTSDATUM
    -0.65
    yargs
    -0.64
    __((
    -0.62
    ########.
    -0.61
    Datuak
    -0.61
    =$?
    -0.60
     Lexer
    -0.60
    POSITIVE LOGITS
     sépar
    0.57
     alive
    0.50
     until
    0.50
    Until
    0.48
     Until
    0.46
    until
    0.45
     nemico
    0.44
    books
    0.44
     vapeur
    0.43
    Samp
    0.41
    Activations Density 0.190%

    No Known Activations