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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. 7036
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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
     MPG
    -0.67
    holding
    -0.65
     Geneva
    -0.65
    Ô
    -0.65
     issuer
    -0.64
     Schr
    -0.64
    icio
    -0.62
     needle
    -0.62
    illes
    -0.62
    phrine
    -0.61
    POSITIVE LOGITS
    abama
    0.76
     ashore
    0.71
    ceans
    0.68
    xml
    0.68
     respawn
    0.67
     aval
    0.64
    ometimes
    0.63
    zzy
    0.62
     skelet
    0.61
    ¸
    0.61
    Activations Density 0.000%

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