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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. 3806
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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
    enne
    -0.80
    rower
    -0.79
    orer
    -0.69
    ewitness
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    apixel
    -0.67
    lehem
    -0.66
    uzzle
    -0.66
    puter
    -0.64
    geon
    -0.64
    ongo
    -0.63
    POSITIVE LOGITS
    ãĤ¦ãĤ¹
    0.85
     Pengu
    0.83
    DragonMagazine
    0.74
     ank
    0.71
     USAF
    0.69
     Eg
    0.67
     Scand
    0.67
    gaard
    0.66
    usually
    0.66
    uably
    0.65
    Activations Density 0.000%

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