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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 16k
    5. 20-GEMMASCOPE-RES-16K
    6. 15900
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    INDEX
    Explanations

    occurrences of the word "word" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Clifton
    -0.55
     Helf
    -0.52
     Hau
    -0.49
    IANI
    -0.49
    uley
    -0.48
     Gauthier
    -0.48
    ilaire
    -0.47
     mistrust
    -0.47
     $:$
    -0.46
    atelli
    -0.46
    POSITIVE LOGITS
    Word
    1.13
     word
    1.13
     Word
    1.08
     WORD
    1.08
    word
    1.01
     words
    0.98
    Words
    0.96
     WORDS
    0.96
    WORD
    0.96
     Words
    0.93
    Activations Density 0.125%

    No Known Activations