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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 9071
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    Explanations

    the verb "got" in various contexts and forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Infórmanos
    -0.55
    AnimationsModule
    -0.53
     ब्रेकडाउन
    -0.52
    ecirc
    -0.52
     endblock
    -0.50
     herbe
    -0.46
     SwiftUI
    -0.45
     Rink
    -0.44
     Budaya
    -0.44
    plak
    -0.44
    POSITIVE LOGITS
     Got
    1.05
    Got
    1.05
    got
    1.02
     got
    0.98
     GOT
    0.82
    GOT
    0.68
     gotta
    0.63
     gotcha
    0.62
     Gottlieb
    0.59
    Gotcha
    0.57
    Activations Density 0.045%

    No Known Activations