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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. 0-RES-JB
    6. 24387
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    Explanations

    scientific figures and references in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to figures or illustrations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     academy
    -0.73
     booze
    -0.70
     stuff
    -0.70
     oath
    -0.68
     perks
    -0.68
     civ
    -0.67
     specials
    -0.67
     reserved
    -0.67
     consent
    -0.67
     politics
    -0.66
    POSITIVE LOGITS
    Figure
    4.03
     Figure
    3.08
    Fig
    2.16
     Figures
    2.13
    FIG
    2.02
    figure
    1.93
     FIG
    1.72
    Table
    1.54
     Fig
    1.47
     figure
    1.41
    Activations Density 0.023%

    No Known Activations