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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. 10-RES-JB
    11. 24389
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    Explanations

    terms related to the printing process and technologies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the act of printing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hunt
    -0.86
    rolet
    -0.79
    asio
    -0.76
     Dive
    -0.73
    aldi
    -0.71
    htar
    -0.69
    acia
    -0.66
    rian
    -0.66
    è¦
    -0.65
     Vaugh
    -0.65
    POSITIVE LOGITS
     filament
    1.02
     ink
    1.00
     printing
    0.97
    print
    0.94
    printed
    0.94
     cartridges
    0.92
     printed
    0.92
     printer
    0.89
    outs
    0.88
     printers
    0.84
    Activations Density 0.048%

    No Known Activations