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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 878
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    Explanations

    references to specific media outlets or publications

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific media outlets or platforms

    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
    anic
    -0.66
    imar
    -0.65
     disapp
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     tide
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     appar
    -0.63
    icent
    -0.61
    vt
    -0.61
    cession
    -0.60
    alist
    -0.60
    cry
    -0.59
    POSITIVE LOGITS
    Magazine
    0.92
     Editors
    0.91
     editors
    0.90
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    0.88
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    0.85
    uggets
    0.84
     Digest
    0.83
     contributor
    0.83
     magazine
    0.80
     readers
    0.79
    Activations Density 0.121%

    No Known Activations