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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 6826
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    Explanations

    the word "whatever" 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-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    en
    -0.75
     \
    -0.68
    I
    -0.66
    i
    -0.64
     I
    -0.64
    .
    -0.63
    liferay
    -0.62
    н
    -0.62
     in
    -0.61
     as
    -0.59
    POSITIVE LOGITS
     Whatever
    1.51
    Whatever
    1.44
    whatever
    1.41
     whatever
    1.39
    atever
    1.36
     whichever
    1.31
     Theſe
    1.28
     Whoever
    1.25
     whoever
    1.24
     itſelf
    1.22
    Activations Density 0.058%

    No Known Activations