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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. 8-RES-JB
    11. 16990
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    Explanations

    numeric information and statistical data in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    information related to ratings and reviews

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     disadvant
    -0.85
     automobile
    -0.66
    ÃŃs
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    illon
    -0.63
    efficients
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    rero
    -0.63
     suppose
    -0.62
    ledged
    -0.61
     reperc
    -0.60
     curves
    -0.60
    POSITIVE LOGITS
    63
    0.89
     mins
    0.87
    456
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    646
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    89
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     Posts
    0.85
    796
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    79
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    76
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    643
    0.83
    Activations Density 0.118%

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