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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. 1-RES-JB
    6. 19791
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    Explanations

    keywords related to fundamental concepts or introductory level information

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to foundational elements or principles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    andering
    -0.71
    onel
    -0.64
     Pall
    -0.64
    war
    -0.62
    othy
    -0.60
    erry
    -0.60
    urches
    -0.60
    issions
    -0.58
    Sus
    -0.58
    atorial
    -0.57
    POSITIVE LOGITS
     basics
    1.06
     essentials
    0.94
     fundamentals
    0.85
     Basics
    0.85
    chool
    0.77
     Concepts
    0.76
     necessities
    0.75
    matter
    0.73
     gist
    0.72
    cape
    0.72
    Activations Density 0.010%

    No Known Activations