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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. 4-RES-JB
    11. 20048
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hang
    -0.71
    resh
    -0.67
    rest
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    cised
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    gallery
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    lt
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    uncture
    -0.63
    erest
    -0.63
    cult
    -0.62
    entimes
    -0.62
    POSITIVE LOGITS
    £ı
    0.73
     parachute
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    psc
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     notebooks
    0.70
     propell
    0.68
     whistle
    0.68
     indict
    0.67
     juven
    0.64
     cartoons
    0.64
     disadvant
    0.63
    Activations Density 0.000%

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