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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 2165
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    Explanations

    the use of the word "literally" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Normdatei
    -0.72
     entanto
    -0.70
     GNP
    -0.68
     noDo
    -0.67
     Wellesley
    -0.67
     Marston
    -0.66
    peq
    -0.64
    ntesis
    -0.63
    +#+#
    -0.62
    Anson
    -0.62
    POSITIVE LOGITS
     literally
    2.70
     Literally
    2.55
    Literally
    2.54
    literally
    2.50
     literal
    2.28
     literalmente
    2.08
    literal
    2.02
     Literal
    1.71
     LITER
    1.61
     буквально
    1.57
    Activations Density 0.065%

    No Known Activations