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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. 6216
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    Explanations

    keywords related to names of people or places with some formatting inconsistencies

    oai_token-act-pair · gpt-3.5-turbo

    symbols or characters related to formatting or emphasis within the text

    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
     interf
    -0.73
     EST
    -0.66
     NEC
    -0.66
     Unic
    -0.65
     Somerset
    -0.64
     Cob
    -0.64
     Brist
    -0.63
     Nico
    -0.61
     transc
    -0.61
    ifications
    -0.60
    POSITIVE LOGITS
    Ļ
    1.68
    ¬
    1.38
    Ĺ
    1.30
    ¡
    1.30
    ª
    1.29
    ı
    1.28
    ¯
    1.26
    ´
    1.24
    µ
    1.23
    Ń
    1.23
    Activations Density 0.212%

    No Known Activations