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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 1733
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    Explanations

    frequency of the word "several" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rego
    -0.74
     धन
    -0.68
     prez
    -0.61
     Miki
    -0.60
     it
    -0.60
     Franke
    -0.59
    ejs
    -0.59
    zuki
    -0.59
    ホル
    -0.59
     Riches
    -0.57
    POSITIVE LOGITS
     dozen
    1.41
    several
    1.36
     Several
    1.33
     Plusieurs
    1.31
    Several
    1.31
     several
    1.29
     mehrerer
    1.28
    dozen
    1.27
     '{@
    1.27
     ſeveral
    1.23
    Activations Density 0.051%

    No Known Activations