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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

    statements about funding and financial support, particularly from specific institutions or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to funding

    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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    Negative Logits
    ijn
    -0.75
    ierre
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     Halls
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    ique
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    Son
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    erning
    -0.66
    istics
    -0.65
    Shop
    -0.64
    store
    -0.63
    place
    -0.63
    POSITIVE LOGITS
    amental
    0.96
     financed
    0.93
    funded
    0.90
     funded
    0.89
    ament
    0.84
     funding
    0.82
    ESCO
    0.80
     scholarships
    0.75
     subsid
    0.72
     budgets
    0.71
    Activations Density 0.015%

    No Known Activations