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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. 17419
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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
    orie
    -0.74
     lich
    -0.65
    irection
    -0.63
     Mahjong
    -0.63
    +++
    -0.62
    gif
    -0.62
    oops
    -0.61
    orial
    -0.61
    omo
    -0.60
     cabinets
    -0.59
    POSITIVE LOGITS
     Osw
    0.75
     apprehens
    0.72
    stead
    0.71
    theless
    0.71
    aution
    0.69
    Ĥİ
    0.69
     livest
    0.67
    wana
    0.66
     contrad
    0.64
    xiety
    0.64
    Activations Density 0.000%

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