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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 7048
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    INDEX
    Explanations

    references to training and instructional methods

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

    "training" or variations of it

    np_acts-logits-general · gemini-2.0-flash

    training camp session program

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     InputDecoration
    -0.63
    RRect
    -0.62
    oggetto
    -0.57
     propOrder
    -0.53
     Bellow
    -0.49
    EDEFAULT
    -0.46
    Pico
    -0.46
    URIComponent
    -0.46
    boca
    -0.46
     Ewig
    -0.46
    POSITIVE LOGITS
     training
    0.98
    Training
    0.93
     Training
    0.93
     TRAINING
    0.86
    training
    0.85
    TRAINING
    0.84
     trainings
    0.79
    Train
    0.79
     Train
    0.79
     train
    0.79
    Activations Density 0.076%

    No Known Activations