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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3093
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    Explanations

    phrases related to food quality and cooking methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    …]
    -0.42
     komende
    -0.41
    ...");
    -0.41
    Tikang
    -0.40
     betreffenden
    -0.40
    …).
    -0.40
    …”
    -0.40
    Portail
    -0.39
     situatie
    -0.39
    …?
    -0.38
    POSITIVE LOGITS
    SequentialGroup
    0.65
    tvguidetime
    0.50
    principalTable
    0.46
     NUKAT
    0.45
    IsContent
    0.45
    igshid
    0.43
    abond
    0.43
    üedad
    0.43
     catalogues
    0.43
    ⟬
    0.43
    Activations Density 0.675%

    No Known Activations