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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. 1-RES-JB
    11. 8767
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    heit
    -0.78
    sonian
    -0.75
    cale
    -0.75
    iage
    -0.74
     watershed
    -0.70
     saf
    -0.69
    rior
    -0.69
    hari
    -0.67
    atibility
    -0.66
    riage
    -0.65
    POSITIVE LOGITS
    ãĤ¤ãĥĪ
    0.85
     encour
    0.73
    Redd
    0.72
    Discuss
    0.70
    ãĤ´ãĥ³
    0.66
     Notting
    0.64
     ingred
    0.64
    Offic
    0.62
    ãĥij
    0.62
     pubs
    0.62
    Activations Density 0.000%

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