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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. 11-RES-JB
    11. 7064
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lump
    -0.72
     Gators
    -0.71
     wart
    -0.71
     Tall
    -0.69
     Turtles
    -0.68
     Bengal
    -0.68
    ugg
    -0.68
     Brow
    -0.67
    hawks
    -0.67
     Dynam
    -0.67
    POSITIVE LOGITS
    ×Ļ×
    2.03
    ×ķ
    1.91
    ×
    1.90
    ×Ļ
    1.88
    ש
    1.81
    ×IJ
    1.80
    ׾
    1.79
    ×ŀ
    1.79
    ר
    1.78
    ×Ķ
    1.74
    Activations Density 0.011%

    No Known Activations