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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20818
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuations and formatting errors in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     brut
    -0.76
     manif
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     oun
    -0.74
    anus
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     bos
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    zik
    -0.72
    oshenko
    -0.72
     induct
    -0.71
     cod
    -0.70
    ouf
    -0.70
    POSITIVE LOGITS
     Please
    1.04
    php
    0.96
     However
    0.94
    dll
    0.93
    google
    0.92
    push
    0.92
    html
    0.91
    jpg
    0.88
     Although
    0.88
     Typically
    0.87
    Activations Density 0.114%

    No Known Activations