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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. 3-RES-JB
    11. 17393
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    soDeliveryDate
    -0.71
    edo
    -0.68
    Ã
    -0.66
     addiction
    -0.66
    saf
    -0.63
    China
    -0.62
     substit
    -0.62
    anie
    -0.61
     Ake
    -0.61
    CBC
    -0.60
    POSITIVE LOGITS
    antry
    0.83
    Reviewer
    0.75
    ummer
    0.67
     dormant
    0.66
    washer
    0.63
     Planes
    0.63
     dock
    0.61
     Trojan
    0.61
    rocket
    0.61
     serial
    0.60
    Activations Density 0.000%

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