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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. 2-RES-JB
    11. 21505
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Wilde
    -0.79
    ndra
    -0.75
     Seas
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     Chef
    -0.65
     Vie
    -0.62
     Nom
    -0.62
     Raider
    -0.61
    hem
    -0.61
     Rats
    -0.60
    Dial
    -0.59
    POSITIVE LOGITS
    externalActionCode
    0.78
    theless
    0.72
    ////////
    0.70
    ItemThumbnailImage
    0.70
    actionDate
    0.70
    ":""},{"
    0.67
    itional
    0.66
    bryce
    0.66
    soDeliveryDate
    0.66
    CLASSIFIED
    0.66
    Activations Density 0.000%

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