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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. 10-RES-JB
    11. 21452
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    Explanations

    phrases related to technical information like reports, financial figures, and infrastructure development

    oai_token-act-pair · gpt-3.5-turbo

    symbols or special characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.89
     comprehens
    -0.71
     Mamm
    -0.69
    manship
    -0.65
    anwhile
    -0.63
     Nanto
    -0.63
     Sidd
    -0.62
     recogn
    -0.62
     karma
    -0.62
     incidentally
    -0.62
    POSITIVE LOGITS
    ¿
    1.73
    ´
    1.70
    ³
    1.66
    ¬
    1.63
    ¹
    1.61
    ¨
    1.60
    ¦
    1.59
    ¾
    1.58
    ¸
    1.53
    ¼
    1.53
    Activations Density 0.012%

    No Known Activations