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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 7203
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    INDEX
    Explanations

    terms related to training and capacity-building in various professional settings

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

    after "trained" or related to training

    np_acts-logits-general · gemini-2.0-flash

    training and skill acquisition

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RenderAtEndOf
    -0.50
    ParallelGroup
    -0.48
    rosis
    -0.43
     rom
    -0.42
     xảy
    -0.42
     COMMENTS
    -0.41
    довал
    -0.40
    urlopen
    -0.40
    writerow
    -0.40
     fallen
    -0.40
    POSITIVE LOGITS
     skills
    0.88
     competencies
    0.84
     competency
    0.82
    skills
    0.82
     basics
    0.81
     básico
    0.76
     trainings
    0.75
    ViewFeatures
    0.74
     básica
    0.74
     refresher
    0.74
    Activations Density 0.221%

    No Known Activations