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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. 8-RES-JB
    11. 10685
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    Explanations

    words related to public figures or names, particularly with an abbreviated first name followed by an apostrophe and single letter

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character "O'" or related phrases involving individuals associated with it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    »Ĵ
    -0.75
     eclipse
    -0.73
    isphere
    -0.71
    terday
    -0.65
     incent
    -0.65
     actionGroup
    -0.64
     intimid
    -0.63
    nown
    -0.62
    ctuary
    -0.62
     precincts
    -0.61
    POSITIVE LOGITS
    Neill
    1.32
    Brien
    1.31
    Connor
    1.29
    Malley
    1.26
    Donnell
    1.20
    Reilly
    1.17
    Sullivan
    1.12
    Leary
    1.07
    Neal
    1.06
    Neil
    1.05
    Activations Density 0.011%

    No Known Activations