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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. 11963
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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
     tatt
    -0.77
    ËĪ
    -0.76
    outh
    -0.72
    unts
    -0.69
    tein
    -0.65
    eston
    -0.65
    lear
    -0.63
    endon
    -0.63
    alore
    -0.63
    sharp
    -0.63
    POSITIVE LOGITS
    icons
    0.89
    azo
    0.82
     Zer
    0.80
     Abyssal
    0.74
     Sec
    0.72
     Winged
    0.69
    ukemia
    0.68
     Owl
    0.66
     Crusader
    0.66
    Flow
    0.65
    Activations Density 0.000%

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