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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. 6-RES-JB
    11. 13800
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ocally
    -0.87
    çİĭ
    -0.71
    imb
    -0.70
     Kitt
    -0.70
    actic
    -0.69
    WT
    -0.68
    BF
    -0.66
    MJ
    -0.65
    ĸļ
    -0.65
     Offer
    -0.64
    POSITIVE LOGITS
    rig
    0.73
    alon
    0.69
    ritz
    0.69
    riad
    0.68
    serv
    0.65
    igator
    0.63
    pan
    0.63
     warnings
    0.62
     Razor
    0.61
    eers
    0.61
    Activations Density 0.000%

    No Known Activations

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