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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 8597
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    Explanations

    the word "there" and its variations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Slf
    -0.64
    lamic
    -0.64
    :✨
    -0.60
    Polo
    -0.60
     Polo
    -0.58
     Eval
    -0.58
     Gast
    -0.58
    Osp
    -0.57
    Gastro
    -0.57
     JST
    -0.57
    POSITIVE LOGITS
     there
    1.22
    there
    1.13
    There
    1.02
     THERE
    0.99
     There
    0.95
    THERE
    0.92
     they
    0.64
     allí
    0.63
    they
    0.58
     там
    0.58
    Activations Density 0.107%

    No Known Activations