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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. 4368
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    Explanations

    references to processes and relationships in various contexts

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

    Follows question words (how, what, why)

    np_acts-logits-general · gemini-2.0-flash

    how or what

    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
    fromCharCode
    -0.56
    بوابة
    -0.55
    Portale
    -0.53
    rophes
    -0.51
    radura
    -0.50
    Приятного
    -0.49
     zosta
    -0.47
    warten
    -0.47
    Tikang
    -0.46
     resourceCulture
    -0.46
    POSITIVE LOGITS
     how
    1.27
    how
    0.95
     cómo
    0.95
     why
    0.89
     "..\..\..\
    0.82
     what
    0.78
     bagaimana
    0.78
     ways
    0.75
    cómo
    0.72
    ]")]
    0.71
    Activations Density 0.311%

    No Known Activations