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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. 9448
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    INDEX
    Explanations

    occurrences of the word "tear" and its variants

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

    tear, rip, shred

    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
    IsPostBack
    -0.51
    netbeans
    -0.51
    complexType
    -0.51
    RenderAtEndOf
    -0.49
     NavController
    -0.48
    DockStyle
    -0.47
     Obj
    -0.47
    Personendaten
    -0.44
     CommonModule
    -0.44
    matchCondition
    -0.44
    POSITIVE LOGITS
     tearing
    0.93
     torn
    0.90
     déchir
    0.89
     ripping
    0.88
     ripped
    0.83
     tore
    0.82
     tear
    0.82
    Torn
    0.79
     apart
    0.78
     Torn
    0.77
    Activations Density 0.009%

    No Known Activations