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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. 3661
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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
     baseman
    -0.63
    Rand
    -0.63
    iami
    -0.62
    anye
    -0.62
     nearest
    -0.61
    Ïĥ
    -0.61
     sorcerer
    -0.60
     rapper
    -0.59
     annoy
    -0.59
    NY
    -0.58
    POSITIVE LOGITS
    ĸļ
    1.09
    ysis
    0.91
    xual
    0.90
    lear
    0.81
    llah
    0.79
    phal
    0.78
    astern
    0.76
     Breed
    0.71
    learning
    0.71
     Confeder
    0.70
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.