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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. 16550
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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
    rule
    -0.78
    AppData
    -0.77
    Euro
    -0.71
    Dir
    -0.67
    ictionary
    -0.67
    mast
    -0.66
    roit
    -0.66
    Cos
    -0.65
    liest
    -0.65
    Versions
    -0.64
    POSITIVE LOGITS
     Valiant
    0.75
    ibaba
    0.69
    istence
    0.68
    jri
    0.66
     pilot
    0.63
    imaru
    0.62
    ious
    0.61
     juggling
    0.60
     Lia
    0.59
     blinking
    0.58
    Activations Density 0.000%

    No Known Activations

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