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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. 23305
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    INDEX
    Explanations

    proper nouns, specifically names and labels with a consistent structure

    oai_token-act-pair · gpt-3.5-turbo

    specific abbreviations or acronyms related to organizations or titles

    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
    Not in Any Lists

    No Comments

    Negative Logits
    bred
    -0.69
    flix
    -0.69
    phrine
    -0.65
     marrow
    -0.65
     Democr
    -0.64
    brook
    -0.63
    staking
    -0.63
     Regulations
    -0.62
     prolific
    -0.62
     contraceptives
    -0.61
    POSITIVE LOGITS
    ernaut
    0.92
    avorite
    0.89
    alos
    0.87
    ramid
    0.86
    orea
    0.86
    illet
    0.83
    wagen
    0.82
    icker
    0.82
    ernel
    0.82
    ramer
    0.80
    Activations Density 0.012%

    No Known Activations