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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. 11-RES-JB
    11. 24531
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    Explanations

    references to numerical data, such as quantities, statistics, and measurements

    oai_token-act-pair · gpt-3.5-turbo

    statistical measurements and quantities related to production and income

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĸ¬âĸ¬
    -0.59
    lihood
    -0.56
     à¨
    -0.56
     Âł Âł Âł Âł Âł Âł Âł Âł
    -0.50
    Ü
    -0.49
    ãĤ¨ãĥ«
    -0.49
     civilisation
    -0.49
    à¨
    -0.48
    ð
    -0.48
    ãĤ¼ãĤ¦ãĤ¹
    -0.48
    POSITIVE LOGITS
     thereafter
    1.16
     afterward
    1.05
     respectively
    0.98
    .).
    0.94
    .
    0.91
     apiece
    0.91
    .''.
    0.90
    .)
    0.85
    .]
    0.82
    +.
    0.82
    Activations Density 0.576%

    No Known Activations