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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. 23755
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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
    imir
    -0.84
    ©¶æ¥µ
    -0.83
     Barcl
    -0.77
     Ports
    -0.76
     duties
    -0.76
     Realms
    -0.74
     powers
    -0.74
    ngth
    -0.71
     Parables
    -0.71
     Arbit
    -0.71
    POSITIVE LOGITS
    ONSORED
    0.97
     marketed
    0.68
    ollo
    0.67
    duct
    0.65
    actionDate
    0.64
    imilar
    0.64
     labeled
    0.64
    bang
    0.64
     labelled
    0.63
    aretz
    0.62
    Activations Density 0.000%

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