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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 22880
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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
    pex
    -0.89
    VERSION
    -0.84
    TPS
    -0.79
    Part
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    è£ħ
    -0.69
    IRT
    -0.69
    ãĥ©ãĥ³
    -0.68
    RAG
    -0.68
    ERSON
    -0.68
    PORT
    -0.68
    POSITIVE LOGITS
    undo
    0.68
    ammad
    0.65
     RTX
    0.65
     blind
    0.64
    ezvous
    0.62
     Hilbert
    0.61
    illes
    0.61
    yrinth
    0.61
    ittance
    0.61
    uates
    0.60
    Activations Density 0.000%

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