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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. 2-RES-JB
    6. 1623
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    zzi
    -0.72
    heny
    -0.67
    fw
    -0.64
     Favorite
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    Machine
    -0.64
     Huck
    -0.63
    DOWN
    -0.63
     Logged
    -0.61
    atche
    -0.61
    ESA
    -0.60
    POSITIVE LOGITS
     sciences
    0.74
     behaved
    0.61
     seiz
    0.60
     rupt
    0.60
    nai
    0.59
     weights
    0.59
     fences
    0.59
    rily
    0.59
    rill
    0.59
     Ukrain
    0.58
    Activations Density 0.000%

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