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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. 7-RES-JB
    6. 17949
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    oai_token-act-pair · gpt-3.5-turbo

    references to zip codes

    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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    Negative Logits
    raising
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    nesota
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    emies
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    igmatic
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    nen
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    ¯¯
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     Democr
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    rums
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    nces
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    ership
    -0.71
    POSITIVE LOGITS
    Zip
    0.87
     zip
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     Zip
    0.78
    ijn
    0.72
     sum
    0.72
    zip
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    pees
    0.72
    !/
    0.71
    INO
    0.71
    edia
    0.69
    Activations Density 0.028%

    No Known Activations