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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. 0-RES-JB
    11. 15696
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     harvesting
    -0.73
     harvested
    -0.68
     <-
    -0.65
     school
    -0.63
    testing
    -0.62
     tast
    -0.62
    gui
    -0.61
    romy
    -0.60
     scholarship
    -0.60
     recip
    -0.60
    POSITIVE LOGITS
    enance
    0.90
    dra
    0.76
     Dresden
    0.74
    ãĤ¬
    0.73
    ãĥ¼ãĥ«
    0.71
    ãĤ´ãĥ³
    0.71
    Recomm
    0.68
     Exile
    0.67
    ãĥŁ
    0.66
    RON
    0.65
    Activations Density 0.000%

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