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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. 7-RES-JB
    11. 11326
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    Explanations

    prepositional phrases indicating cause or justification

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the importance of collective action or external influences over individual contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     +++
    -0.65
     +#
    -0.62
    10000
    -0.61
    UGE
    -0.60
     Furious
    -0.59
    PORT
    -0.59
    +++
    -0.58
    POS
    -0.58
    æ©Ł
    -0.58
    STER
    -0.58
    POSITIVE LOGITS
     sexes
    0.82
    lihood
    0.76
     genders
    0.70
     overt
    0.64
    hetical
    0.61
    asio
    0.59
    agher
    0.59
     guiActiveUn
    0.59
    rency
    0.59
     bars
    0.58
    Activations Density 0.133%

    No Known Activations