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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. 342
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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
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.80
     glut
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    iol
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    llular
    -0.73
     Bellev
    -0.69
    @#&
    -0.66
    inventoryQuantity
    -0.66
    ulia
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    ween
    -0.64
    cellent
    -0.62
    POSITIVE LOGITS
    oths
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    agra
    0.73
    nings
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    rower
    0.72
     testimonies
    0.68
    oys
    0.66
    hare
    0.66
     anonymity
    0.66
    akia
    0.65
     testimony
    0.64
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