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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 5289
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    INDEX
    Explanations

    expressions of personal opinions and superlative evaluations

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

    First-person experiences, often with "ever" or "'ve"

    np_acts-logits-general · gemini-2.0-flash

    ever experienced or seen

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ſelf
    -0.54
     ſta
    -0.51
     ſche
    -0.50
     itſelf
    -0.48
     Diſ
    -0.48
     greateſt
    -0.48
    帖最后由
    -0.48
    出版年
    -0.47
     juſ
    -0.47
     occaf
    -0.47
    POSITIVE LOGITS
     ever
    0.90
     EVER
    0.63
     Ever
    0.56
     jemals
    0.53
    ever
    0.52
     anywhere
    0.50
    Ever
    0.47
     pernah
    0.47
    EVER
    0.45
     jamais
    0.45
    Activations Density 0.081%

    No Known Activations