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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. 714
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    INDEX
    Explanations
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    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
    tackle
    -0.75
    gae
    -0.75
    zyme
    -0.74
     uncover
    -0.71
     detecting
    -0.69
    forcement
    -0.68
    erent
    -0.67
    pins
    -0.66
    chio
    -0.66
    cheon
    -0.65
    POSITIVE LOGITS
    clair
    0.72
     Dign
    0.72
    Delivery
    0.70
     Deliver
    0.69
     Delivery
    0.68
    ODY
    0.66
    Wallet
    0.66
    assis
    0.66
    Versions
    0.66
     Services
    0.65
    Activations Density 0.000%

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