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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. 23790
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    Explanations

    numbers related to quantities or statistics

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data regarding statistical highs and lows

    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
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    love
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    prototype
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    mar
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    POSITIVE LOGITS
    ever
    1.02
     contrace
    0.84
     earners
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     allowable
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    0.74
     contiguous
    0.72
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    0.71
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    0.69
     seiz
    0.67
    Activations Density 0.171%

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