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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. 6-RES-JB
    11. 20319
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    Explanations

    references to sports drafts and elections, specifically mentioning specific years and events

    oai_token-act-pair · gpt-3.5-turbo

    references to various sports drafts, elections, and associated events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.67
    oeuv
    -0.65
    roid
    -0.61
    entimes
    -0.60
    roit
    -0.58
    utch
    -0.58
     fec
    -0.58
     domains
    -0.57
    ksh
    -0.57
     frown
    -0.57
    POSITIVE LOGITS
    bernatorial
    1.12
    ulner
    0.70
     Authorization
    0.69
    士
    0.68
     caucuses
    0.64
    ãĥĢ
    0.63
     census
    0.62
     onwards
    0.61
    isode
    0.61
     laun
    0.61
    Activations Density 0.267%

    No Known Activations