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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. 4-RES-JB
    11. 22574
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    Explanations

    mathematical expressions and coding syntax

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and mathematical expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    etheless
    -0.76
    [/
    -0.61
    ãĢIJ
    -0.59
    ãĢİ
    -0.58
    wcs
    -0.57
     showc
    -0.56
    minist
    -0.56
    answered
    -0.55
    foreseen
    -0.54
    POSITIVE LOGITS
    )
    1.74
    !)
    1.67
    )."
    1.66
    ?)
    1.66
    )"
    1.61
    ),
    1.61
    ),"
    1.61
    ).
    1.57
    )-
    1.57
    )!
    1.55
    Activations Density 1.027%

    No Known Activations