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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. 12-RES-JB
    11. 4470
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    Explanations

    words related to social issues, especially in the context of Australian politics and economics

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to Australia and its societal topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    bart
    -0.57
    VK
    -0.56
    ovich
    -0.56
     sacrific
    -0.56
    Bron
    -0.56
    SON
    -0.55
    wordpress
    -0.54
    hur
    -0.54
    Attorney
    -0.54
    LI
    -0.54
    POSITIVE LOGITS
    res
    0.72
    ral
    0.68
    gy
    0.63
    mine
    0.63
    resh
    0.61
    ards
    0.61
    redo
    0.61
    raviolet
    0.60
     Regener
    0.59
     Saving
    0.59
    Activations Density 0.414%

    No Known Activations