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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6500
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    Explanations

    variations of the word "hard."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ✭✭
    -0.36
     bellezza
    -0.31
    readdir
    -0.30
    덜
    -0.30
    omitempty
    -0.29
     OrderedDict
    -0.28
     Trá
    -0.28
    writeFieldEnd
    -0.28
    umfang
    -0.28
     visione
    -0.28
    POSITIVE LOGITS
    Hard
    1.07
     Hard
    1.07
     hard
    1.05
    hard
    0.98
     HARD
    0.96
    HARD
    0.96
    wired
    0.84
     harde
    0.83
     harder
    0.79
     core
    0.72
    Activations Density 0.070%

    No Known Activations