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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. 13660
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    INDEX
    Explanations

    references to printers

    oai_token-act-pair · gpt-3.5-turbo

    references to printers, particularly 3D printers

    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
    Not in Any Lists

    No Comments

    Negative Logits
    laus
    -0.91
    awk
    -0.80
    rolet
    -0.80
    auri
    -0.78
    orb
    -0.76
    pha
    -0.72
    awks
    -0.70
    bors
    -0.70
    avez
    -0.70
    rises
    -0.69
    POSITIVE LOGITS
     printer
    1.36
     printers
    1.29
     filament
    1.11
     printing
    0.94
     ink
    0.93
    Maker
    0.92
     slic
    0.92
     cartridges
    0.91
     presses
    0.87
     extr
    0.82
    Activations Density 0.010%

    No Known Activations