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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. 0-RES-JB
    11. 13471
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     length
    -0.66
     Burr
    -0.65
     address
    -0.62
     maiden
    -0.62
     Bastard
    -0.62
    irgin
    -0.60
    XXX
    -0.60
    Tx
    -0.59
    0000000000000000
    -0.59
    éĹĺ
    -0.59
    POSITIVE LOGITS
    GROUP
    0.77
     stere
    0.76
    .–
    0.70
    puters
    0.68
     perspect
    0.68
    ecause
    0.68
     challeng
    0.67
    igue
    0.66
    soDeliveryDate
    0.66
    models
    0.65
    Activations Density 0.000%

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