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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8021
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    INDEX
    Explanations

    terms and concepts related to optimization algorithms and gradient methods

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

    Optimization and gradient algorithms

    np_acts-logits-general · gemini-2.0-flash

    gradient descent optimization

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueStyle
    -0.58
    TypedDataSet
    -0.56
    ➟
    -0.49
     Chwiliwch
    -0.47
    ⓧ
    -0.46
     PeEnEo
    -0.44
     yyq
    -0.43
    FLA
    -0.43
     utafitiHapana
    -0.42
     Вікі
    -0.42
    POSITIVE LOGITS
    ActionCreators
    0.52
     onCreateView
    0.44
     gradient
    0.43
     restTemplate
    0.43
    posedge
    0.40
    optimizer
    0.40
    VolleyError
    0.39
    Etimología
    0.39
     Gradient
    0.38
     IFTT
    0.38
    Activations Density 1.174%

    No Known Activations