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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 3931
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    Explanations

    the occurrence of words related to characterization and stylistic elements in technical writing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 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
    IVEREF
    -0.60
     Signalez
    -0.58
    enumi
    -0.57
     Мексичка
    -0.56
    enumii
    -0.56
     utafitiHapana
    -0.56
    Архівовано
    -0.55
     isolado
    -0.55
     otomatig
    -0.55
    invokeLater
    -0.54
    POSITIVE LOGITS
    ization
    1.52
    isation
    1.12
    IZATION
    1.07
    izations
    0.84
    zation
    0.82
    ización
    0.73
    ISATION
    0.72
    lization
    0.68
    izzazione
    0.64
    ização
    0.62
    Activations Density 0.105%

    No Known Activations