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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. 9-RES-JB
    11. 4785
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    Explanations

    dates and times in various formats

    oai_token-act-pair · gpt-3.5-turbo

    dates and times

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    thora
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    uliffe
    -0.65
    fman
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    gue
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    raq
    -0.64
    POSITIVE LOGITS
     TBD
    1.04
     Thurs
    1.02
     October
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     Tues
    0.93
     TBA
    0.92
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     September
    0.90
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    0.89
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    0.88
    GMT
    0.87
    Activations Density 0.106%

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