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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. 2-RES-JB
    6. 28
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    Explanations

    terms related to software programming and development, specifically focusing on jQuery and DOM related concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to web development concepts, particularly related to the Document Object Model (DOM) and jQuery

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

    acronyms and technologies related to web development

    oai_token-act-pair · gpt-4-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    kers
    -0.75
    ship
    -0.73
    ships
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    igun
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    hunt
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    ker
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    chance
    -0.66
    ppo
    -0.65
    patrick
    -0.63
    olar
    -0.63
    POSITIVE LOGITS
     DOM
    0.99
    DOM
    0.93
    AIN
    0.91
    OME
    0.82
    aine
    0.78
    inant
    0.74
    miah
    0.74
    INO
    0.72
    raped
    0.71
    Parser
    0.71
    Activations Density 0.008%

    No Known Activations