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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 12139
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    INDEX
    Explanations

    phrases related to anabolic steroids and their effects on bodybuilding and athletic performance

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

    training, metabolism, or diet

    np_acts-logits-general · gemini-2.0-flash

    training and gains

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rhestr
    -0.52
    cellation
    -0.52
    ICTS
    -0.49
     télé
    -0.48
    Geografia
    -0.48
    ørn
    -0.48
     télécommande
    -0.48
    地说道
    -0.47
    ńczy
    -0.47
    νομ
    -0.47
    POSITIVE LOGITS
     training
    1.13
     Training
    1.02
    Training
    1.02
    training
    0.96
     TRAINING
    0.93
    TRAINING
    0.85
     periodi
    0.83
     gains
    0.73
    gains
    0.72
     perio
    0.72
    Activations Density 0.099%

    No Known Activations