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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. 7-RES-JB
    11. 1938
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    Explanations

    technical specifications and numerical values related to computer processors

    oai_token-act-pair · gpt-3.5-turbo

    references to specific numerical values or identifiers associated with data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    owered
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    atis
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    ãĥ´ãĤ¡
    -0.67
    utra
    -0.66
    awaru
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    herty
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    etsk
    -0.65
    POSITIVE LOGITS
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    1.16
    rd
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    0.70
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    th
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    lake
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    Activations Density 0.068%

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