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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. 24284
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    Explanations

    the name "Weiss"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the character Weiss

    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
    cffffcc
    -0.78
    yrinth
    -0.76
    ism
    -0.73
    istic
    -0.71
    oreal
    -0.70
    aughs
    -0.69
    icate
    -0.69
    vantage
    -0.68
    acons
    -0.68
     OPEC
    -0.67
    POSITIVE LOGITS
    heet
    0.97
    mann
    0.91
    swe
    0.85
     Schwarz
    0.81
    ibel
    0.77
    ullivan
    0.74
    ipeg
    0.72
    sheet
    0.70
    ELD
    0.69
    hei
    0.69
    Activations Density 0.020%

    No Known Activations