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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. 10-RES-JB
    11. 1170
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    Explanations

    terms related to imports and importation

    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts related to importation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    leader
    -0.71
    romancer
    -0.68
     resil
    -0.65
    ymm
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    hirt
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    hap
    -0.63
    ttp
    -0.62
    holes
    -0.62
     continuum
    -0.62
    yll
    -0.61
    POSITIVE LOGITS
    uning
    1.06
    antly
    0.94
    into
    0.91
    unity
    0.89
    uned
    0.87
    export
    0.82
    Import
    0.78
    ibles
    0.77
    import
    0.77
    æĸ¹
    0.76
    Activations Density 0.030%

    No Known Activations