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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 16-GEMMASCOPE-RES-16K
    6. 13222
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    Explanations

    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 @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    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
    -0.56
    uley
    -0.47
     Hau
    -0.46
     Safer
    -0.45
    ilaire
    -0.44
     It
    -0.44
     Helf
    -0.44
    cui
    -0.43
     Sunrise
    -0.43
     Gentry
    -0.43
    POSITIVE LOGITS
     word
    1.32
    Word
    1.29
     Word
    1.25
     WORD
    1.18
     words
    1.14
    Words
    1.14
     Words
    1.12
    WORD
    1.08
    word
    1.05
     WORDS
    1.04
    Activations Density 0.027%

    No Known Activations