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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. 43849
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    Explanations

    references to cans or containers, particularly in the context of food or beverages

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

    containers and modal verbs

    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
    RegressionTest
    -0.56
     adjacent
    -0.42
    olto
    -0.42
    ূ
    -0.40
    ophe
    -0.40
     neighboring
    -0.39
    iented
    -0.39
    itte
    -0.39
    ويت
    -0.38
    roides
    -0.38
    POSITIVE LOGITS
     cans
    0.92
     Cans
    0.87
     can
    0.85
    can
    0.70
    Can
    0.69
     Canned
    0.68
     canister
    0.68
     canning
    0.67
    bottle
    0.66
     latas
    0.66
    Activations Density 0.022%

    No Known Activations