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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 6584
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    Explanations

    proper nouns, particularly names of people and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stick
    -0.41
     aérea
    -0.39
    TacToe
    -0.39
     hidráulica
    -0.38
    shirt
    -0.38
    dress
    -0.38
     fiscales
    -0.37
    sery
    -0.37
    OGND
    -0.37
    dles
    -0.36
    POSITIVE LOGITS
    n
    0.65
    nnn
    0.64
    nnnn
    0.62
    on
    0.60
    出版年
    0.54
    ian
    0.53
    nier
    0.50
    nen
    0.50
    mOn
    0.49
    NNNN
    0.49
    Activations Density 0.420%

    No Known Activations