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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. 6819
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    INDEX
    Explanations
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    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
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    Negative Logits
    ovsky
    -0.74
    igraph
    -0.67
    sov
    -0.65
    bed
    -0.63
     deposit
    -0.62
    houn
    -0.62
    bour
    -0.62
     Concent
    -0.61
    azines
    -0.61
    aki
    -0.61
    POSITIVE LOGITS
    Reloaded
    0.67
    aird
    0.66
     Resurrection
    0.66
     js
    0.66
    ãĤ³
    0.65
    ãĥķãĤ©
    0.64
    obin
    0.63
    åĬ
    0.63
     avail
    0.62
     Surv
    0.61
    Activations Density 0.000%

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