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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. 3-RES-JB
    11. 12130
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    Explanations

    keywords related to various types of projects

    oai_token-act-pair · gpt-3.5-turbo

    references to various projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

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    Phys
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    IENT
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    OUS
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    ded
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    OST
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    ITH
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    BI
    -0.60
    BO
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    asus
    -0.60
    ãĥª
    -0.59
    POSITIVE LOGITS
    hips
    1.45
    ettings
    1.32
    paces
    1.26
    hip
    1.25
    uggest
    1.21
    hops
    1.21
    mith
    1.19
    afety
    1.16
    chool
    1.11
    cale
    1.10
    Activations Density 0.155%

    No Known Activations