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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. 95374
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    Explanations

    references to various types of lighting in a coding context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    light and words following it

    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
    Not in Any Lists

    No Comments

    Negative Logits
    <bos>
    -0.56
    XmlAccessorType
    -0.56
    featureID
    -0.51
     Bundy
    -0.50
     Boi
    -0.49
    ebi
    -0.49
    kozó
    -0.48
    tabol
    -0.48
     Bumble
    -0.47
     Toms
    -0.47
    POSITIVE LOGITS
     Light
    1.60
    Light
    1.55
     LIGHT
    1.23
    LIGHT
    1.05
     Lights
    0.91
     Lightfoot
    0.85
    Lights
    0.82
    light
    0.80
     Licht
    0.75
     Lumière
    0.73
    Activations Density 0.008%

    No Known Activations