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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. 3-RES-JB
    11. 16037
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     upgr
    -0.71
     Customs
    -0.68
    stones
    -0.64
    atile
    -0.63
    390
    -0.63
    ${
    -0.63
    090
    -0.62
    189
    -0.62
    Motor
    -0.61
    à¼
    -0.61
    POSITIVE LOGITS
    atre
    0.82
    zeb
    0.76
    vernment
    0.73
    ihad
    0.72
    quartered
    0.72
    stakes
    0.70
    brace
    0.65
    ĵĺ
    0.64
    ersive
    0.63
    ersion
    0.63
    Activations Density 0.000%

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