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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. 5-RES-JB
    6. 5933
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    Explanations

    mentions of 3D printers or the act of 3D printing

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 3D printing technology and its applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    htar
    -0.84
    hart
    -0.83
    annah
    -0.82
    byss
    -0.80
    CHAT
    -0.73
    seys
    -0.73
    retion
    -0.72
    rian
    -0.72
    apa
    -0.71
    ctory
    -0.71
    POSITIVE LOGITS
     filament
    1.23
     printer
    0.99
     printers
    0.95
     printing
    0.82
     ink
    0.82
     extr
    0.80
     cartridges
    0.80
     presses
    0.73
     acrylic
    0.73
     broch
    0.72
    Activations Density 0.030%

    No Known Activations