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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. 0-RES-JB
    11. 4977
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    INDEX
    Explanations
    No Explanations Found
    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
    actionDate
    -0.88
     Wit
    -0.79
     Shame
    -0.76
     Plate
    -0.73
     Victims
    -0.72
    urdue
    -0.71
    opa
    -0.70
     Gas
    -0.69
     Desk
    -0.69
     Devon
    -0.68
    POSITIVE LOGITS
    yright
    0.75
     enh
    0.67
    addons
    0.67
    ruction
    0.67
    ellation
    0.66
    umerable
    0.66
    aceous
    0.65
    iably
    0.62
    awaru
    0.62
     grade
    0.61
    Activations Density 0.000%

    No Known Activations

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