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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 15437
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    INDEX
    Explanations

    occurrences of the word "had."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     micro
    -0.54
    Micro
    -0.50
    DockStyle
    -0.49
     Micro
    -0.49
     Broadcast
    -0.49
     Dev
    -0.47
     ult
    -0.47
    micro
    -0.47
     ELF
    -0.47
     Franco
    -0.46
    POSITIVE LOGITS
     had
    1.28
    Had
    1.18
     Had
    1.06
    had
    1.06
     Había
    0.90
     HAD
    0.90
     había
    0.88
     hadn
    0.88
     havia
    0.86
     habia
    0.83
    Activations Density 0.129%

    No Known Activations