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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. 2185
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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
    utenberg
    -0.85
    inventoryQuantity
    -0.76
    hig
    -0.73
     marrow
    -0.69
    interstitial
    -0.68
    strings
    -0.68
     noses
    -0.68
     pores
    -0.67
    mson
    -0.67
    INGTON
    -0.66
    POSITIVE LOGITS
    pha
    0.73
    arming
    0.68
    fully
    0.66
    ph
    0.63
    essed
    0.62
    owered
    0.60
     Enforcement
    0.58
    ãĥ¯
    0.58
     ®
    0.58
    aukee
    0.57
    Activations Density 0.000%

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