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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 55014
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    INDEX
    Explanations

    references to snow and winter-related imagery

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    snowfall and snow depth

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     autorytatywna
    -0.85
    tagHelperRunner
    -0.82
    Personendaten
    -0.78
    UserScript
    -0.69
    OGND
    -0.68
     Infórmanos
    -0.66
    TypedDataSet
    -0.63
    RectangleBorder
    -0.63
    AddTagHelper
    -0.63
    出版年
    -0.63
    POSITIVE LOGITS
     snow
    1.02
     snowfall
    0.79
    snow
    0.79
     Snow
    0.79
     snows
    0.78
    Snow
    0.75
     SNOW
    0.73
    SNOW
    0.64
    雪
    0.64
     snowy
    0.62
    Activations Density 0.053%

    No Known Activations