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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. 3880
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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
    cheat
    -0.73
    forcer
    -0.73
    Linux
    -0.67
    eers
    -0.66
    amines
    -0.66
    cule
    -0.66
    avez
    -0.64
     vaccines
    -0.63
    arella
    -0.61
    amins
    -0.61
    POSITIVE LOGITS
     Peb
    0.68
    mouth
    0.67
     removable
    0.66
     [[
    0.65
     [+
    0.64
     Pag
    0.64
     distressed
    0.64
     Hur
    0.62
    Ku
    0.62
     Strat
    0.61
    Activations Density 0.000%

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