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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 716
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    INDEX
    Explanations

    instances of the word "learn" in various forms, indicating an emphasis on the concept of learning and education

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

    "Learned" and subsequent action/topic

    np_acts-logits-general · gemini-2.0-flash

    learned lessons and skills

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ReusableCell
    -0.80
    enumii
    -0.65
     tartalomajánló
    -0.51
     pensado
    -0.49
     herunterladen
    -0.49
     kasarigan
    -0.49
    SignedIn
    -0.49
    blers
    -0.48
    ikirkan
    -0.47
    xon
    -0.47
    POSITIVE LOGITS
     how
    0.91
     lessons
    0.90
     patience
    0.84
     lesson
    0.84
     basics
    0.76
     basic
    0.76
     tricks
    0.76
     techniques
    0.75
    lessons
    0.73
     proper
    0.73
    Activations Density 0.139%

    No Known Activations