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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. 10-RES-JB
    6. 6740
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    Explanations

    names mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of names and identifiers

    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
    istar
    -0.79
    yrinth
    -0.77
    romy
    -0.76
    isoft
    -0.71
    psey
    -0.71
    icult
    -0.69
    berra
    -0.69
    yrus
    -0.66
    EMS
    -0.64
    ievers
    -0.62
    POSITIVE LOGITS
    plate
    1.46
    plates
    1.46
    paces
    1.15
     recognition
    0.96
    paced
    0.96
    names
    0.94
    ames
    0.86
     tags
    0.85
    akes
    0.85
     tag
    0.83
    Activations Density 0.055%

    No Known Activations