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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. 24397
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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
     pestic
    -0.96
     distingu
    -0.86
    iatus
    -0.83
     vulner
    -0.81
     suscept
    -0.80
     tradem
    -0.79
     satell
    -0.77
    igm
    -0.76
     Seym
    -0.75
     enthusi
    -0.75
    POSITIVE LOGITS
     Lynch
    0.84
    lake
    0.75
    lon
    0.72
    alls
    0.71
    Card
    0.69
    sy
    0.69
     damned
    0.68
    chain
    0.66
    activ
    0.66
    via
    0.66
    Activations Density 0.000%

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