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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. 23523
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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
    Fine
    -0.71
    eering
    -0.68
    sports
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    Craft
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    orus
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     congr
    -0.65
     fry
    -0.64
    ourt
    -0.64
     scramble
    -0.63
    Honest
    -0.63
    POSITIVE LOGITS
    onite
    0.85
    abase
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    asca
    0.74
    xtap
    0.73
    anmar
    0.72
     inappropriately
    0.67
    iffe
    0.66
    estones
    0.64
    allery
    0.64
    enhagen
    0.63
    Activations Density 0.000%

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