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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. 9647
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    Explanations

    mentions of creating groups or structures within a specified space

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to collaboration and project management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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     advis
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     downside
    -0.64
     extremes
    -0.64
    inventoryQuantity
    -0.62
    é¾įå¥ij士
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     flung
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    POSITIVE LOGITS
    properties
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    IOR
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    thia
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     Ark
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     Stanton
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     Fusion
    0.57
    Activations Density 0.486%

    No Known Activations