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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. 4-RES-JB
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    Explanations

    references to computer processors and cores

    oai_token-act-pair · gpt-3.5-turbo

    terms related to processor cores and threading

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    awaru
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    erenn
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    atile
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    acco
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    «ĺ
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    vernment
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    IGHTS
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    POSITIVE LOGITS
    xit
    1.01
    opsis
    0.96
    core
    0.95
    utils
    0.81
     cores
    0.74
    tenance
    0.73
    stals
    0.71
     cpu
    0.70
    gart
    0.70
     Core
    0.69
    Activations Density 0.011%

    No Known Activations