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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. 4873
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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
     hostage
    -0.70
    resy
    -0.68
    pex
    -0.66
     Sens
    -0.64
    dayName
    -0.63
     sensing
    -0.63
    Commerce
    -0.61
    pard
    -0.61
    Press
    -0.60
    ampa
    -0.60
    POSITIVE LOGITS
    hops
    0.74
    wered
    0.70
    ibaba
    0.67
    adders
    0.64
    idated
    0.63
    arette
    0.63
     Mehran
    0.62
     gulf
    0.62
     unanim
    0.61
    adesh
    0.61
    Activations Density 0.000%

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