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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
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    Explanations

    variability in the usage of the word "might" 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 @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    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
     toallas
    -0.46
    Máy
    -0.43
     alcuna
    -0.43
     varietà
    -0.43
     Máy
    -0.43
    chargez
    -0.42
     alcun
    -0.39
     немає
    -0.39
     toalha
    -0.39
     عاما
    -0.39
    POSITIVE LOGITS
    Might
    0.98
     might
    0.93
     MIGHT
    0.91
     Might
    0.91
    might
    0.89
    ght
    0.75
    ought
    0.69
    rait
    0.63
    hintText
    0.63
    lineEdit
    0.61
    Activations Density 0.058%

    No Known Activations