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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 12309
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    Explanations

    references to cleanliness and dirtiness, particularly focusing on the term "dirty" and its variations

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

    dirty and filthy

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    IntoConstraints
    -0.81
    <unused28>
    -0.72
    <unused8>
    -0.72
    <unused14>
    -0.72
    <unused43>
    -0.72
    <pad>
    -0.72
    <unused41>
    -0.72
    <unused79>
    -0.72
    [@BOS@]
    -0.71
    <unused42>
    -0.71
    POSITIVE LOGITS
     dirty
    1.30
    dirty
    1.16
    Dirty
    1.11
     Dirty
    1.09
     filthy
    1.05
     filth
    0.88
     dirt
    0.79
    汚
    0.77
     гря
    0.76
     unclean
    0.74
    Activations Density 0.020%

    No Known Activations