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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 2877
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    Explanations

    references to the term "bear" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    setVerticalGroup
    -0.49
     Normdatei
    -0.49
     CreateTagHelper
    -0.46
    RegressionTest
    -0.44
    styleUrls
    -0.43
    didSet
    -0.43
     civilisation
    -0.42
    OrDefault
    -0.42
     Kanton
    -0.42
     zodiaco
    -0.41
    POSITIVE LOGITS
     bear
    1.11
     Bear
    1.05
    Bear
    0.98
    bear
    0.90
     BEAR
    0.89
     bears
    0.83
    BEAR
    0.80
     bearing
    0.71
     Bears
    0.68
     Bearing
    0.68
    Activations Density 0.130%

    No Known Activations