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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. 5636
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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
     circles
    -0.72
    downs
    -0.65
    jection
    -0.64
    yard
    -0.63
    ington
    -0.62
    Downloadha
    -0.62
    children
    -0.61
     orbits
    -0.59
     Mile
    -0.59
    Hop
    -0.59
    POSITIVE LOGITS
    ĸļ
    0.87
    ãĥĥãĥĪ
    0.80
    ãĤ¦ãĤ¹
    0.78
     GOODMAN
    0.77
    ffect
    0.76
    leeve
    0.75
    PDATE
    0.75
     predec
    0.74
     certific
    0.74
    ocrat
    0.73
    Activations Density 0.000%

    No Known Activations

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