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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the word "Ore" with varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and occurrences associated with "Oregon."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ":["
    -0.66
    BILITIES
    -0.62
    ulative
    -0.61
    Traditional
    -0.60
    ulation
    -0.60
    arnaev
    -0.57
    enegger
    -0.57
     Suc
    -0.57
     Worldwide
    -0.57
    WAYS
    -0.56
    POSITIVE LOGITS
    heim
    1.00
     Ore
    0.96
    gan
    0.92
    tha
    0.89
    zan
    0.85
    heimer
    0.84
    onne
    0.81
    vine
    0.80
    aser
    0.79
    ghan
    0.78
    Activations Density 0.004%

    No Known Activations