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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 9237
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    INDEX
    Explanations

    references to timelines and significant events leading up to a situation

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

    "Leading" or "preparatory" contexts

    np_acts-logits-general · gemini-2.0-flash

    leading into time periods

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TintMode
    -0.49
    angliski
    -0.48
     väh
    -0.42
    bootstrapcdn
    -0.41
     käyttö
    -0.40
    GEBURTS
    -0.38
     mijne
    -0.38
     löyty
    -0.38
     sää
    -0.37
     atlik
    -0.36
    POSITIVE LOGITS
     preparation
    1.63
     preparatory
    1.46
     Preparation
    1.45
     preparations
    1.45
     leading
    1.41
     preparing
    1.40
    preparation
    1.39
     prepping
    1.38
    prepar
    1.37
    Preparation
    1.34
    Activations Density 0.576%

    No Known Activations