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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. 1-RES-JB
    6. 6079
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    Explanations

    words related to the technology term "Chromecast"

    oai_token-act-pair · gpt-3.5-turbo

    words related to sparkling wine or champagne

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cumbers
    -0.83
     srf
    -0.74
     pione
    -0.69
    OTT
    -0.66
    ociated
    -0.66
     totality
    -0.65
     magnitude
    -0.65
     agon
    -0.64
    ĸļ士
    -0.64
    aryl
    -0.64
    POSITIVE LOGITS
    agne
    1.53
    aux
    1.00
    naire
    0.95
    ux
    0.90
    issance
    0.89
    baum
    0.89
    velt
    0.86
    mentation
    0.86
    furt
    0.85
    gen
    0.84
    Activations Density 0.018%

    No Known Activations