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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. 9183
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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
    cknowled
    -0.73
     GOODMAN
    -0.71
    beh
    -0.66
     crane
    -0.65
     demonstr
    -0.64
    inness
    -0.63
     Cage
    -0.63
    ricks
    -0.62
     clauses
    -0.62
     WTO
    -0.62
    POSITIVE LOGITS
    ieri
    0.80
     Gutenberg
    0.74
    itably
    0.69
    nesia
    0.68
     Kraken
    0.66
     Whitman
    0.66
    sburg
    0.65
     thous
    0.65
     Fortune
    0.64
    elia
    0.64
    Activations Density 0.000%

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