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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 1417
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    Explanations

    the repetitive use of the word "literally."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     noDo
    -0.74
     entanto
    -0.71
     Normdatei
    -0.66
     GNP
    -0.65
     تانيه
    -0.65
    FormState
    -0.64
    yfikacja
    -0.63
    الإنجليزية
    -0.61
     Kalman
    -0.61
     Qualities
    -0.61
    POSITIVE LOGITS
     literally
    3.10
     Literally
    2.92
    literally
    2.89
    Literally
    2.84
     literalmente
    2.39
     literal
    2.37
    literal
    2.00
     буквально
    1.75
     litté
    1.71
     LITER
    1.66
    Activations Density 0.083%

    No Known Activations