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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
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    Explanations

    instances of the word "bear" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 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
     stack
    -0.95
     Stack
    -0.91
     stacks
    -0.89
    Stack
    -0.88
    STACK
    -0.81
    stack
    -0.81
     STACK
    -0.80
     stacking
    -0.74
     stacked
    -0.73
    ptonshire
    -0.72
    POSITIVE LOGITS
     bear
    4.03
    bear
    3.30
     bears
    3.27
    Bear
    3.09
     BEAR
    3.03
     Bear
    3.01
     bearing
    2.73
    bears
    2.63
    BEAR
    2.51
     Bears
    2.32
    Activations Density 0.063%

    No Known Activations