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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 7157
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    Explanations

    names of athletes and references to sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MigrationBuilder
    -0.60
     AssemblyCulture
    -0.52
     transfieras
    -0.49
     ProtoMessage
    -0.49
    IsMutable
    -0.48
     AppCompatTheme
    -0.47
     rozwo
    -0.46
     OMITBAD
    -0.46
     تكبرها
    -0.45
    RectangleBorder
    -0.44
    POSITIVE LOGITS
     star
    0.53
     scorer
    0.49
     defender
    0.48
     players
    0.45
     superstar
    0.42
     goalkeeper
    0.42
     stars
    0.42
     captain
    0.42
     studs
    0.42
     PLAYERS
    0.41
    Activations Density 0.141%

    No Known Activations