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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. 13170
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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
    ngth
    -0.78
     Remastered
    -0.74
    anship
    -0.67
    ÃĥÃĤ
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     Alley
    -0.65
    NC
    -0.64
    payers
    -0.64
    eers
    -0.64
    alian
    -0.63
    sembly
    -0.63
    POSITIVE LOGITS
    ItemImage
    0.73
     occasion
    0.70
    )=(
    0.65
    ":""},{"
    0.64
     recol
    0.63
    lict
    0.63
    zac
    0.63
    gently
    0.61
     tid
    0.61
     transact
    0.60
    Activations Density 0.000%

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