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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. 17023
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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
    Negative Logits
    etheless
    -0.85
    DonaldTrump
    -0.77
    avascript
    -0.74
     Homo
    -0.74
     ][
    -0.72
    senal
    -0.71
    iannopoulos
    -0.71
    Medium
    -0.69
    Palestinian
    -0.64
    Houston
    -0.64
    POSITIVE LOGITS
    zag
    0.86
    ivan
    0.71
    ife
    0.70
     scales
    0.68
     desc
    0.67
     cogn
    0.66
    uci
    0.66
     Tir
    0.65
     caus
    0.63
    sworth
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.