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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6965
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    INDEX
    Explanations

    phrases indicating various contributing factors or reasons

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

    "Many" followed by reasons or factors

    np_acts-logits-general · gemini-2.0-flash

    many reasons or factors

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     propOrder
    -0.76
    Personendaten
    -0.63
    setVerticalGroup
    -0.60
     ujednoznacz
    -0.60
    #+#
    -0.60
    InputTagHelper
    -0.59
    SourceChecksum
    -0.59
    makeConstraints
    -0.59
    RenderAtEndOf
    -0.57
    MLLoader
    -0.56
    POSITIVE LOGITS
     many
    1.03
     Many
    0.94
    Many
    0.91
     MANY
    0.85
    many
    0.83
     viele
    0.78
    许多
    0.76
     muchos
    0.75
    MANY
    0.75
     muchas
    0.73
    Activations Density 0.862%

    No Known Activations