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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 14288
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    INDEX
    Explanations

    references to school lunches and their nutritional quality

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

    commuting or school

    np_acts-logits-general · gemini-2.0-flash

    commuting to school or work

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     snippetHide
    -0.54
    WriteLiteral
    -0.53
     Wikidata
    -0.51
    AndEndTag
    -0.51
    ")));
    -0.49
    ativement
    -0.48
    RuleContext
    -0.48
     jsPsych
    -0.48
    lach
    -0.47
    SequentialGroup
    -0.47
    POSITIVE LOGITS
     commuting
    0.99
     commute
    0.96
     commuters
    0.80
     commuter
    0.74
     Commute
    0.73
    commut
    0.70
     trajets
    0.66
    లాలు
    0.65
    上班
    0.63
     berangkat
    0.63
    Activations Density 0.180%

    No Known Activations