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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. 7889
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    INDEX
    Explanations

    occurrences of the word "see" and its variations

    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
     Hofmann
    -0.71
     Wadsworth
    -0.70
     Hoffman
    -0.68
    knapp
    -0.67
     universitarios
    -0.66
    Grath
    -0.63
     loisirs
    -0.63
     Kaufman
    -0.63
    metaData
    -0.63
    kowym
    -0.61
    POSITIVE LOGITS
     see
    2.45
     sees
    2.28
    See
    2.15
    see
    2.12
     SEE
    2.09
     See
    2.06
     Sees
    2.01
     seeing
    1.88
    SEE
    1.81
    sees
    1.75
    Activations Density 0.081%

    No Known Activations