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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. 21372
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    INDEX
    Explanations
    No Explanations Found
    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
    usha
    -0.79
    pared
    -0.77
    bara
    -0.77
    uum
    -0.74
    olicy
    -0.73
    ruits
    -0.73
    rolet
    -0.73
    ru
    -0.72
     Cumm
    -0.71
    rax
    -0.71
    POSITIVE LOGITS
     messenger
    0.71
     snapshots
    0.66
    ILS
    0.65
    formance
    0.62
    maker
    0.62
     labelled
    0.61
     harshly
    0.60
    BSD
    0.59
     TTC
    0.59
    eworld
    0.58
    Activations Density 0.000%

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