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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. 43725
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    Explanations

    references to Michelin, particularly in the context of food and restaurants

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

    Michelin, myelin, micellar, mycelia

    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
    enumi
    -0.66
     OMITBAD
    -0.66
    MigrationBuilder
    -0.53
    anatomy
    -0.52
    astify
    -0.52
     jupe
    -0.51
    ंदीखरीदारी
    -0.51
    stdc
    -0.49
    OMETRY
    -0.49
     OnInit
    -0.49
    POSITIVE LOGITS
     Michelin
    2.13
    helin
    1.61
     michelin
    1.53
    Mic
    0.67
     Miche
    0.58
    Pulitzer
    0.51
     Nobel
    0.50
     Pulitzer
    0.49
    Nobel
    0.49
     Micha
    0.49
    Activations Density 0.004%

    No Known Activations