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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. 587
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    INDEX
    Explanations
    No Explanations Found
    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
    balls
    -0.73
    coat
    -0.65
     commissioner
    -0.64
    nat
    -0.62
    isode
    -0.61
    soft
    -0.60
    venge
    -0.60
    steel
    -0.59
    isine
    -0.59
    bite
    -0.59
    POSITIVE LOGITS
     Mant
    0.71
    ERT
    0.71
    _>
    0.66
    oland
    0.66
    å§
    0.65
     TOD
    0.65
     Dealer
    0.64
    INA
    0.63
    ADRA
    0.63
    aida
    0.62
    Activations Density 0.000%

    No Known Activations

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