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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 2160
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    Explanations

    references to snow and snow-related elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wireType
    -0.55
    awtextra
    -0.52
     kasarigan
    -0.51
    AccessorTable
    -0.46
     Normdatei
    -0.45
     sequelize
    -0.43
    новништво
    -0.42
     demografica
    -0.42
    Jeografia
    -0.42
    afficheront
    -0.42
    POSITIVE LOGITS
     snow
    2.00
    snow
    1.63
     Snow
    1.60
    Snow
    1.55
     SNOW
    1.49
     snowfall
    1.38
    SNOW
    1.35
     snows
    1.30
    雪
    1.25
     snowy
    1.18
    Activations Density 0.218%

    No Known Activations