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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 24164
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    Explanations

    mentions of reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    keywords related to reports or recommendations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    conservancy
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    creen
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    cffff
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    antis
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     schooling
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    mph
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     gate
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     hypert
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    POSITIVE LOGITS
    velop
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    report
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    orial
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    iry
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    emi
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    books
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    idas
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    Crash
    0.73
    ounces
    0.72
    itle
    0.71
    Activations Density 0.052%

    No Known Activations