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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 15227
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    Explanations

    references to snow-related phenomena and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    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
    -0.47
     Normdatei
    -0.46
     estekak
    -0.43
    httphttps
    -0.42
     wireType
    -0.41
    MigrationBuilder
    -0.40
     initComponents
    -0.40
    новништво
    -0.38
     JpaRepository
    -0.38
    ACHUSET
    -0.36
    POSITIVE LOGITS
     snow
    2.63
    snow
    2.25
     Snow
    2.19
    Snow
    2.16
     SNOW
    2.08
     snows
    1.88
     snowfall
    1.88
    SNOW
    1.84
    雪
    1.77
     snowy
    1.70
    Activations Density 0.194%

    No Known Activations