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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. 3-RES-JB
    11. 8275
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    Explanations

    scientific article references

    oai_token-act-pair · gpt-3.5-turbo

    DOI references and academic citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.78
    rely
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     propriet
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    rette
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    TextColor
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    deen
    -0.70
    sole
    -0.67
    inition
    -0.66
    EStream
    -0.66
     compelled
    -0.66
    POSITIVE LOGITS
    586
    0.90
    40
    0.87
    acity
    0.86
    84
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    85
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    98
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    20
    0.84
    400
    0.84
    92
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    uther
    0.82
    Activations Density 0.053%

    No Known Activations