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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. 0-RES-JB
    6. 5121
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Movie
    -0.71
     Squadron
    -0.66
    uses
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    68
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    67
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     chore
    -0.60
     camel
    -0.59
    imes
    -0.58
    0200
    -0.58
    200000
    -0.57
    POSITIVE LOGITS
    ľ
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    ãĤ£
    0.85
    ¥ŀ
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    enhagen
    0.80
    inous
    0.76
    iotic
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    etheless
    0.74
    selves
    0.73
    ĺħ
    0.71
    soever
    0.71
    Activations Density 0.000%

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