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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. 1709
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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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    No Comments

    Negative Logits
     Akin
    -0.74
     Heck
    -0.66
    appropriately
    -0.64
     Bok
    -0.64
     Worker
    -0.61
     Lever
    -0.60
     Overs
    -0.59
     Sum
    -0.57
     Democr
    -0.56
     Taiwanese
    -0.56
    POSITIVE LOGITS
    ipolar
    0.76
    onics
    0.76
    acus
    0.75
    igel
    0.74
    edom
    0.74
     –
    0.73
    utonium
    0.73
    utenberg
    0.72
     âĢ
    0.71
    asonic
    0.71
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.