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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. 22829
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    INDEX
    Explanations
    No Explanations Found
    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
    ãĥ¼ãĥ³
    -0.74
     DRAGON
    -0.65
     illum
    -0.64
     Underground
    -0.62
    ragon
    -0.62
    ŃĶ
    -0.62
     twitch
    -0.61
     nephew
    -0.60
     subordinates
    -0.60
     cradle
    -0.59
    POSITIVE LOGITS
    gaard
    0.82
    gettable
    0.82
    pell
    0.80
    xus
    0.77
     referen
    0.75
    ascript
    0.75
    aque
    0.74
    FFER
    0.73
    merce
    0.73
    itia
    0.72
    Activations Density 0.000%

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