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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. 21142
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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
    BIT
    -0.83
    des
    -0.68
     obligatory
    -0.67
    elong
    -0.67
     rubbish
    -0.64
    gest
    -0.63
     semen
    -0.62
    ydia
    -0.61
     residues
    -0.60
     newsp
    -0.60
    POSITIVE LOGITS
    onent
    0.80
    £ı
    0.77
    cn
    0.66
    racuse
    0.65
    stice
    0.63
    laus
    0.63
    ionic
    0.61
    itory
    0.61
    keyes
    0.60
    isSpecialOrderable
    0.60
    Activations Density 0.000%

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