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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 5746
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    Explanations

    references to personal names, specifically in conversations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/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.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parsedMessage
    -1.05
     تضيفلها
    -0.99
    出版年
    -0.97
    majánló
    -0.97
    <unused14>
    -0.94
    <unused8>
    -0.94
    <unused3>
    -0.94
    <unused74>
    -0.94
    <unused47>
    -0.94
    <unused41>
    -0.94
    POSITIVE LOGITS
    ,
    0.44
    :
    0.39
    1
    0.35
    '
    0.35
    ->
    0.34
    2
    0.32
     
    0.30
    3
    0.30
    (
    0.30
    .
    0.30
    Activations Density 0.072%

    No Known Activations