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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 84904
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    Explanations

    references to the name "Tom" and variations of it in various contexts

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

    tom followed by specific tokens

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.46
     otomatig
    -0.44
    RenderAtEndOf
    -0.43
    ValueStyle
    -0.42
     PeEnEo
    -0.42
    OrNil
    -0.40
     שוליים
    -0.39
    BASELINE
    -0.39
    IContainer
    -0.38
     abstra
    -0.37
    POSITIVE LOGITS
    Tom
    0.80
     tom
    0.71
     Tom
    0.69
     TOM
    0.66
    TOM
    0.65
    tom
    0.61
    toms
    0.56
     Toms
    0.56
     insuffisamment
    0.54
    トム
    0.52
    Activations Density 0.022%

    No Known Activations