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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. 20623
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    INDEX
    Explanations

    names of sports positions and statistics

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and"

    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
    Ur
    -0.76
    Material
    -0.74
    :(
    -0.72
    vertis
    -0.72
    Web
    -0.71
    yll
    -0.69
     ®
    -0.69
    DX
    -0.68
    store
    -0.68
    .—
    -0.67
    POSITIVE LOGITS
     then
    0.93
     athleticism
    0.89
     thus
    0.86
     coaches
    0.85
    romeda
    0.84
     scoring
    0.81
     assorted
    0.79
     averaged
    0.79
     preseason
    0.78
     injuries
    0.77
    Activations Density 0.333%

    No Known Activations