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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. 1707
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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
    wcsstore
    -0.81
    lihood
    -0.75
    tip
    -0.75
    hetically
    -0.75
    76561
    -0.72
    yip
    -0.70
    hetical
    -0.69
    ierrez
    -0.69
    thumbnails
    -0.67
    UV
    -0.67
    POSITIVE LOGITS
     Inher
    0.70
    atton
    0.64
    anism
    0.63
     civilisation
    0.62
    ihil
    0.62
     Madness
    0.60
    ophys
    0.59
    iol
    0.58
     scramble
    0.57
     spoil
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.