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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. 2-RES-JB
    11. 1648
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    INDEX
    Explanations

    numbers representing amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    numbers, particularly those related to statistics or financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    undai
    -0.71
    printed
    -0.68
    gets
    -0.67
    vati
    -0.66
    ¥ŀ
    -0.65
    lying
    -0.64
     brink
    -0.64
    uyomi
    -0.64
    mits
    -0.64
    matically
    -0.63
    POSITIVE LOGITS
    80
    0.94
    70
    0.82
    OTAL
    0.80
    %:
    0.79
    803
    0.78
    65
    0.78
    60
    0.76
    IRC
    0.74
     cents
    0.74
    686
    0.74
    Activations Density 0.038%

    No Known Activations