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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5672
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    Explanations

    occurrences and descriptions of snow and related winter conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ligiloj
    -0.39
     Normdatei
    -0.36
    RegressionTest
    -0.36
    MigrationBuilder
    -0.35
    exitRule
    -0.34
     intptr
    -0.33
     estekak
    -0.33
     initComponents
    -0.32
    httphttps
    -0.32
     tatouage
    -0.32
    POSITIVE LOGITS
     snow
    2.66
    snow
    2.25
     Snow
    2.20
    Snow
    2.16
     SNOW
    2.09
     snows
    1.91
     snowfall
    1.91
    SNOW
    1.86
    雪
    1.84
     snowy
    1.77
    Activations Density 0.232%

    No Known Activations