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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. 97
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    Explanations

    occurrences of the word "Had" 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
    ✭✭
    -0.59
     AssemblyCulture
    -0.54
    #+#
    -0.52
    rungsseite
    -0.49
    HtmlAttribute
    -0.48
    ôtel
    -0.47
    AnchorStyles
    -0.43
    tvguidetime
    -0.42
     المعيارى
    -0.42
     piece
    -0.42
    POSITIVE LOGITS
    Had
    1.27
     Had
    1.27
    had
    0.96
     HAD
    0.88
    HAD
    0.79
     had
    0.78
     hadn
    0.74
     habían
    0.65
     hatten
    0.61
     hatte
    0.60
    Activations Density 0.202%

    No Known Activations