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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 8588
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    Explanations

    phrases containing the word "that" and its contextual usage in various sentences

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

    "that" or "que" followed by a verb

    np_acts-logits-general · gemini-2.0-flash

    that/que introducing clauses

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Jîn
    -0.59
    GEBURTSDATUM
    -0.51
     виправивши
    -0.51
    OCCURRED
    -0.49
    principalColumn
    -0.49
    CppMethod
    -0.48
    errHandler
    -0.47
    msgTypes
    -0.47
    CloseOperation
    -0.47
     Verſ
    -0.47
    POSITIVE LOGITS
     be
    0.94
     legyen
    0.81
     soient
    0.55
     venga
    0.53
     puisse
    0.52
     бъдат
    0.52
     بتوان
    0.51
     být
    0.51
     abbia
    0.50
     puissent
    0.50
    Activations Density 0.355%

    No Known Activations