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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12250
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    Explanations

    references to snow and ice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    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
    -0.46
     JpaRepository
    -0.45
     Normdatei
    -0.44
    basicConfig
    -0.41
    новништво
    -0.40
     kasarigan
    -0.40
     AppCompatTheme
    -0.40
    MigrationBuilder
    -0.38
    exitRule
    -0.38
    afficheront
    -0.37
    POSITIVE LOGITS
     snow
    2.70
    snow
    2.30
     Snow
    2.25
    Snow
    2.20
     SNOW
    2.14
     snows
    1.90
    SNOW
    1.88
     snowfall
    1.87
    雪
    1.81
     snowy
    1.74
    Activations Density 0.220%

    No Known Activations