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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. 1-RES-JB
    11. 22705
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    REM
    -0.73
    iaries
    -0.68
    stocks
    -0.68
    LP
    -0.64
     Skinner
    -0.62
    DW
    -0.62
    resp
    -0.62
    KO
    -0.62
     Cambridge
    -0.60
    NM
    -0.60
    POSITIVE LOGITS
     Palestin
    0.78
    usted
    0.74
    cision
    0.67
    pec
    0.66
    staking
    0.65
     priority
    0.64
    ogo
    0.63
     fragmentation
    0.61
     punched
    0.61
     priorities
    0.61
    Activations Density 0.000%

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