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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. 10090
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    INDEX
    Explanations

    information related to event logistics and ticketing

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ticketing and event details, particularly related to beverages and admission

    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
    âĹ¼
    -1.07
     billions
    -0.82
     trillions
    -0.76
    ãĥŀ
    -0.75
     analys
    -0.74
    Thumbnail
    -0.73
     Turing
    -0.73
    ãĥķãĤ¡
    -0.70
    ģĸ
    -0.69
    luaj
    -0.69
    POSITIVE LOGITS
     patrons
    1.02
     Guests
    0.99
     seating
    0.98
    Tickets
    0.98
     Admission
    0.97
     admission
    0.95
     beverages
    0.95
     TBA
    0.95
     guests
    0.94
     picnic
    0.93
    Activations Density 0.678%

    No Known Activations