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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. 9950
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    Explanations

    mentions of different types of ties, particularly in the context of clothing or knots

    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
    ExecuteReader
    -0.41
    NamedQueries
    -0.41
    Hozzáférés
    -0.39
    toggler
    -0.37
    fromLTRB
    -0.36
    ,:)
    -0.36
    localtime
    -0.36
    LEncoder
    -0.36
    Referanser
    -0.35
     Francis
    -0.35
    POSITIVE LOGITS
     knee
    0.88
     tie
    0.84
    knee
    0.82
     Tie
    0.80
     ties
    0.78
    Tie
    0.75
    Arrow
    0.74
     knees
    0.72
     Arrow
    0.69
     Ties
    0.69
    Activations Density 0.179%

    No Known Activations