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

    the word "Ferguson"

    oai_token-act-pair · gpt-3.5-turbo

    references to the location "Ferguson."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    NetMessage
    -0.73
    Magikarp
    -0.69
    ysis
    -0.67
    ãĥīãĥ©ãĤ´ãĥ³
    -0.65
    Engineers
    -0.65
    graded
    -0.65
    Password
    -0.64
    Lower
    -0.64
    amber
    -0.63
    vu
    -0.63
    POSITIVE LOGITS
    shire
    0.86
    auld
    0.78
    burgh
    0.75
    burg
    0.75
    herty
    0.74
    baum
    0.73
     Ferguson
    0.71
    enegger
    0.71
    orious
    0.68
    weather
    0.68
    Activations Density 0.023%

    No Known Activations