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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 9816
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    INDEX
    Explanations

    occurrences of the word "ved"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     desmotivaciones
    -1.31
    parsedMessage
    -1.23
     zijne
    -1.07
     Geſch
    -1.04
    <unused41>
    -1.03
    <unused23>
    -1.02
    <unused28>
    -1.02
    <unused14>
    -1.02
    [@BOS@]
    -1.02
    <unused3>
    -1.02
    POSITIVE LOGITS
    ved
    0.90
     
    0.70
    1
    0.64
    ก
    0.63
     Brother
    0.62
    3
    0.62
    ↵
    0.59
    4
    0.58
    5
    0.58
     (
    0.57
    Activations Density 0.308%

    No Known Activations